Overview

Dataset statistics

Number of variables975
Number of observations9949
Missing cells290905
Missing cells (%)3.0%
Total size in memory74.0 MiB
Average record size in memory7.6 KiB

Variable types

Numeric975

Alerts

idade12 has constant value ""Constant
sexo12 has constant value ""Constant
relacao12 has constant value ""Constant
idade2 has 2734 (27.5%) missing valuesMissing
sexo2 has 2734 (27.5%) missing valuesMissing
relacao2 has 2734 (27.5%) missing valuesMissing
idade3 has 6712 (67.5%) missing valuesMissing
sexo3 has 6712 (67.5%) missing valuesMissing
relacao3 has 6712 (67.5%) missing valuesMissing
idade4 has 8376 (84.2%) missing valuesMissing
sexo4 has 8376 (84.2%) missing valuesMissing
relacao4 has 8376 (84.2%) missing valuesMissing
idade5 has 9297 (93.4%) missing valuesMissing
sexo5 has 9297 (93.4%) missing valuesMissing
relacao5 has 9297 (93.4%) missing valuesMissing
idade6 has 9679 (97.3%) missing valuesMissing
sexo6 has 9679 (97.3%) missing valuesMissing
relacao6 has 9679 (97.3%) missing valuesMissing
idade7 has 9821 (98.7%) missing valuesMissing
sexo7 has 9821 (98.7%) missing valuesMissing
relacao7 has 9821 (98.7%) missing valuesMissing
idade8 has 9894 (99.4%) missing valuesMissing
sexo8 has 9894 (99.4%) missing valuesMissing
relacao8 has 9894 (99.4%) missing valuesMissing
idade9 has 9919 (99.7%) missing valuesMissing
sexo9 has 9919 (99.7%) missing valuesMissing
relacao9 has 9919 (99.7%) missing valuesMissing
idade10 has 9933 (99.8%) missing valuesMissing
sexo10 has 9933 (99.8%) missing valuesMissing
relacao10 has 9933 (99.8%) missing valuesMissing
idade11 has 9935 (99.9%) missing valuesMissing
sexo11 has 9935 (99.9%) missing valuesMissing
relacao11 has 9935 (99.9%) missing valuesMissing
idade12 has 9944 (99.9%) missing valuesMissing
sexo12 has 9944 (99.9%) missing valuesMissing
relacao12 has 9944 (99.9%) missing valuesMissing
rendadom has 562 (5.6%) missing valuesMissing
rendadompc has 562 (5.6%) missing valuesMissing
propriedades has 1049 (10.5%) missing valuesMissing
e25_3 is highly skewed (γ1 = 21.1982307)Skewed
e25_4 is highly skewed (γ1 = 35.22782992)Skewed
e25_5 is highly skewed (γ1 = 24.13322646)Skewed
u64 is highly skewed (γ1 = -49.53357077)Skewed
u65 is highly skewed (γ1 = -44.61458119)Skewed
u67 is highly skewed (γ1 = -57.08398245)Skewed
u68 is highly skewed (γ1 = -57.12582355)Skewed
u70 is highly skewed (γ1 = -22.15457031)Skewed
u71 is highly skewed (γ1 = -21.21141548)Skewed
u73 is highly skewed (γ1 = -25.30957129)Skewed
u74 is highly skewed (γ1 = -22.21887661)Skewed
u79 is highly skewed (γ1 = -25.61209962)Skewed
u80 is highly skewed (γ1 = -24.87546748)Skewed
id2 has unique valuesUnique
ar8 has 5460 (54.9%) zerosZeros
sexo2 has 4333 (43.6%) zerosZeros
sexo3 has 1467 (14.7%) zerosZeros
sexo4 has 748 (7.5%) zerosZeros
sexo5 has 303 (3.0%) zerosZeros
sexo6 has 131 (1.3%) zerosZeros
a2 has 7422 (74.6%) zerosZeros
a4 has 8852 (89.0%) zerosZeros
a5 has 307 (3.1%) zerosZeros
a8 has 2099 (21.1%) zerosZeros
a11 has 176 (1.8%) zerosZeros
a13 has 9395 (94.4%) zerosZeros
a14_2 has 493 (5.0%) zerosZeros
a14_3 has 488 (4.9%) zerosZeros
a14_4 has 507 (5.1%) zerosZeros
a15 has 3759 (37.8%) zerosZeros
b1 has 8292 (83.3%) zerosZeros
b7 has 8613 (86.6%) zerosZeros
b9 has 113 (1.1%) zerosZeros
b11 has 3130 (31.5%) zerosZeros
b13 has 9404 (94.5%) zerosZeros
b15 has 9792 (98.4%) zerosZeros
b17 has 4500 (45.2%) zerosZeros
b19 has 402 (4.0%) zerosZeros
b21 has 7710 (77.5%) zerosZeros
b23 has 6975 (70.1%) zerosZeros
b25 has 1435 (14.4%) zerosZeros
b27 has 8502 (85.5%) zerosZeros
b29 has 7573 (76.1%) zerosZeros
b31 has 131 (1.3%) zerosZeros
b32 has 7241 (72.8%) zerosZeros
b33 has 8814 (88.6%) zerosZeros
b35 has 6677 (67.1%) zerosZeros
b38 has 9220 (92.7%) zerosZeros
c2 has 103 (1.0%) zerosZeros
c3 has 8163 (82.0%) zerosZeros
c4 has 113 (1.1%) zerosZeros
c5 has 6874 (69.1%) zerosZeros
c6 has 357 (3.6%) zerosZeros
c7 has 9147 (91.9%) zerosZeros
c8 has 6934 (69.7%) zerosZeros
c9 has 246 (2.5%) zerosZeros
c10 has 3543 (35.6%) zerosZeros
c11 has 7805 (78.5%) zerosZeros
c12 has 4738 (47.6%) zerosZeros
c13 has 757 (7.6%) zerosZeros
c14 has 9498 (95.5%) zerosZeros
c15 has 8914 (89.6%) zerosZeros
c16 has 7859 (79.0%) zerosZeros
c17 has 164 (1.6%) zerosZeros
c18 has 4911 (49.4%) zerosZeros
d1 has 7237 (72.7%) zerosZeros
d4 has 3953 (39.7%) zerosZeros
d7 has 8999 (90.5%) zerosZeros
d16 has 9248 (93.0%) zerosZeros
d22 has 9289 (93.4%) zerosZeros
sexo has 5898 (59.3%) zerosZeros
e6 has 4242 (42.6%) zerosZeros
e10 has 8835 (88.8%) zerosZeros
e11 has 807 (8.1%) zerosZeros
e12 has 1972 (19.8%) zerosZeros
e13 has 672 (6.8%) zerosZeros
e14 has 7889 (79.3%) zerosZeros
e18 has 8857 (89.0%) zerosZeros
e23 has 1314 (13.2%) zerosZeros
e24 has 9871 (99.2%) zerosZeros
e25_0 has 363 (3.6%) zerosZeros
e25_2 has 9917 (99.7%) zerosZeros
e25_3 has 9927 (99.8%) zerosZeros
e25_4 has 9941 (99.9%) zerosZeros
e25_5 has 9932 (99.8%) zerosZeros
e25_6 has 9909 (99.6%) zerosZeros
e25_7 has 9845 (99.0%) zerosZeros
e26 has 9131 (91.8%) zerosZeros
f1 has 1610 (16.2%) zerosZeros
f2 has 6821 (68.6%) zerosZeros
f3 has 6196 (62.3%) zerosZeros
f4 has 6774 (68.1%) zerosZeros
f6 has 5542 (55.7%) zerosZeros
f7 has 4491 (45.1%) zerosZeros
f8 has 5244 (52.7%) zerosZeros
f9 has 5271 (53.0%) zerosZeros
f10 has 7835 (78.8%) zerosZeros
f11 has 447 (4.5%) zerosZeros
f12 has 965 (9.7%) zerosZeros
f13 has 527 (5.3%) zerosZeros
f14 has 923 (9.3%) zerosZeros
f15 has 1185 (11.9%) zerosZeros
f16 has 1920 (19.3%) zerosZeros
f17 has 8305 (83.5%) zerosZeros
f18 has 1143 (11.5%) zerosZeros
f19 has 928 (9.3%) zerosZeros
f20 has 981 (9.9%) zerosZeros
f20_1 has 683 (6.9%) zerosZeros
f21 has 9211 (92.6%) zerosZeros
g2 has 479 (4.8%) zerosZeros
g3_1 has 5704 (57.3%) zerosZeros
g3_2 has 6558 (65.9%) zerosZeros
g3_3 has 6597 (66.3%) zerosZeros
g3_4 has 6012 (60.4%) zerosZeros
g3_5 has 5913 (59.4%) zerosZeros
g3_6 has 5984 (60.1%) zerosZeros
g3_13_1 has 1994 (20.0%) zerosZeros
g3_13_2 has 1914 (19.2%) zerosZeros
g3_13_3 has 1821 (18.3%) zerosZeros
g3_13_4 has 1109 (11.1%) zerosZeros
g3_13_5 has 1914 (19.2%) zerosZeros
g3_13_6 has 1891 (19.0%) zerosZeros
g3_13_7 has 1881 (18.9%) zerosZeros
g3_13_8 has 1721 (17.3%) zerosZeros
g3_13_9 has 2004 (20.1%) zerosZeros
g3_13_10 has 1372 (13.8%) zerosZeros
g3_13_11 has 1583 (15.9%) zerosZeros
g4_1 has 9351 (94.0%) zerosZeros
g4_2 has 9532 (95.8%) zerosZeros
g4_3 has 9587 (96.4%) zerosZeros
g4_4 has 9558 (96.1%) zerosZeros
g4_5 has 9571 (96.2%) zerosZeros
g5 has 9230 (92.8%) zerosZeros
h1 has 439 (4.4%) zerosZeros
h5 has 6584 (66.2%) zerosZeros
h6 has 2870 (28.8%) zerosZeros
h8 has 5852 (58.8%) zerosZeros
h12 has 6980 (70.2%) zerosZeros
h13 has 1596 (16.0%) zerosZeros
h14 has 9693 (97.4%) zerosZeros
h15 has 9075 (91.2%) zerosZeros
h16 has 8863 (89.1%) zerosZeros
h17 has 8554 (86.0%) zerosZeros
h18 has 9724 (97.7%) zerosZeros
h19 has 9338 (93.9%) zerosZeros
h20 has 9560 (96.1%) zerosZeros
h21 has 9420 (94.7%) zerosZeros
h22 has 9771 (98.2%) zerosZeros
h23 has 3361 (33.8%) zerosZeros
h24 has 7390 (74.3%) zerosZeros
h26 has 9342 (93.9%) zerosZeros
i0_1 has 1772 (17.8%) zerosZeros
i0_11 has 5995 (60.3%) zerosZeros
i0_13 has 5526 (55.5%) zerosZeros
i0_19 has 2163 (21.7%) zerosZeros
i0_28 has 5888 (59.2%) zerosZeros
i0_32 has 4198 (42.2%) zerosZeros
i17_1 has 1098 (11.0%) zerosZeros
i17_2 has 4530 (45.5%) zerosZeros
i17_3 has 5340 (53.7%) zerosZeros
i17_4 has 5145 (51.7%) zerosZeros
i17_5 has 5264 (52.9%) zerosZeros
i17_6 has 5420 (54.5%) zerosZeros
i17_7 has 4981 (50.1%) zerosZeros
i20_0 has 1073 (10.8%) zerosZeros
i20_1 has 1317 (13.2%) zerosZeros
i23_1 has 7592 (76.3%) zerosZeros
i23_2 has 8553 (86.0%) zerosZeros
i23_3 has 8534 (85.8%) zerosZeros
i23_4 has 8638 (86.8%) zerosZeros
i23_5 has 7858 (79.0%) zerosZeros
i23_6 has 6597 (66.3%) zerosZeros
i23_7 has 8288 (83.3%) zerosZeros
i23_8_1 has 6255 (62.9%) zerosZeros
i23_8 has 6634 (66.7%) zerosZeros
i25 has 2368 (23.8%) zerosZeros
i27 has 9146 (91.9%) zerosZeros
k0 has 8423 (84.7%) zerosZeros
k1 has 8813 (88.6%) zerosZeros
k2_1 has 362 (3.6%) zerosZeros
k2_2 has 919 (9.2%) zerosZeros
k2_3 has 993 (10.0%) zerosZeros
k2_4 has 844 (8.5%) zerosZeros
k5 has 8889 (89.3%) zerosZeros
k8 has 9256 (93.0%) zerosZeros
l5 has 4119 (41.4%) zerosZeros
l6_1 has 2241 (22.5%) zerosZeros
l6_2 has 1788 (18.0%) zerosZeros
l7 has 6367 (64.0%) zerosZeros
l8_1 has 882 (8.9%) zerosZeros
l8_2 has 1399 (14.1%) zerosZeros
l9 has 8377 (84.2%) zerosZeros
l10_1 has 310 (3.1%) zerosZeros
l10_2 has 534 (5.4%) zerosZeros
l11_1 has 492 (4.9%) zerosZeros
l11_2 has 6450 (64.8%) zerosZeros
l12_1 has 525 (5.3%) zerosZeros
l12_2 has 6678 (67.1%) zerosZeros
l13 has 6284 (63.2%) zerosZeros
l14 has 3141 (31.6%) zerosZeros
l14_1 has 526 (5.3%) zerosZeros
l15 has 828 (8.3%) zerosZeros
l17 has 3918 (39.4%) zerosZeros
l19 has 1298 (13.0%) zerosZeros
l21 has 972 (9.8%) zerosZeros
l22 has 730 (7.3%) zerosZeros
l23 has 5000 (50.3%) zerosZeros
l25 has 110 (1.1%) zerosZeros
l28 has 719 (7.2%) zerosZeros
l29 has 505 (5.1%) zerosZeros
l39 has 9157 (92.0%) zerosZeros
m3 has 5652 (56.8%) zerosZeros
m4_1 has 116 (1.2%) zerosZeros
m7 has 1260 (12.7%) zerosZeros
m11 has 4876 (49.0%) zerosZeros
m16 has 5458 (54.9%) zerosZeros
n1 has 240 (2.4%) zerosZeros
n2 has 6082 (61.1%) zerosZeros
n3 has 7395 (74.3%) zerosZeros
n5 has 3286 (33.0%) zerosZeros
n9 has 8432 (84.8%) zerosZeros
n10 has 8874 (89.2%) zerosZeros
n11 has 8900 (89.5%) zerosZeros
n12 has 6526 (65.6%) zerosZeros
n14 has 999 (10.0%) zerosZeros
n15 has 9662 (97.1%) zerosZeros
n17 has 6814 (68.5%) zerosZeros
n18 has 8023 (80.6%) zerosZeros
n21 has 1782 (17.9%) zerosZeros
n23 has 1742 (17.5%) zerosZeros
n24 has 9791 (98.4%) zerosZeros
n26 has 9760 (98.1%) zerosZeros
n28 has 4750 (47.7%) zerosZeros
n31 has 327 (3.3%) zerosZeros
n32 has 3871 (38.9%) zerosZeros
n33 has 4025 (40.5%) zerosZeros
n35 has 8062 (81.0%) zerosZeros
n38_1 has 729 (7.3%) zerosZeros
n38_2 has 1468 (14.8%) zerosZeros
n38_3 has 396 (4.0%) zerosZeros
n38_4 has 1449 (14.6%) zerosZeros
n38_5 has 1739 (17.5%) zerosZeros
n39 has 1211 (12.2%) zerosZeros
n40 has 1215 (12.2%) zerosZeros
n44 has 7561 (76.0%) zerosZeros
n46 has 9453 (95.0%) zerosZeros
n47_2 has 320 (3.2%) zerosZeros
n47_4 has 123 (1.2%) zerosZeros
n48 has 9676 (97.3%) zerosZeros
n50 has 9427 (94.8%) zerosZeros
n51_2 has 112 (1.1%) zerosZeros
n52 has 9438 (94.9%) zerosZeros
n53_2 has 330 (3.3%) zerosZeros
n53_4 has 183 (1.8%) zerosZeros
n53_5 has 167 (1.7%) zerosZeros
n53_6 has 368 (3.7%) zerosZeros
n54 has 9572 (96.2%) zerosZeros
n55 has 9533 (95.8%) zerosZeros
n55_1 has 9778 (98.3%) zerosZeros
n55_2 has 9719 (97.7%) zerosZeros
n56 has 7885 (79.3%) zerosZeros
n57 has 8448 (84.9%) zerosZeros
n58 has 6718 (67.5%) zerosZeros
n59 has 8610 (86.5%) zerosZeros
n59_1 has 433 (4.4%) zerosZeros
n59_2 has 9566 (96.2%) zerosZeros
n60 has 9469 (95.2%) zerosZeros
n60_3 has 182 (1.8%) zerosZeros
n60_51 has 151 (1.5%) zerosZeros
n60_52 has 101 (1.0%) zerosZeros
n60_53 has 158 (1.6%) zerosZeros
n60_54 has 124 (1.2%) zerosZeros
n60_57 has 209 (2.1%) zerosZeros
n61 has 9650 (97.0%) zerosZeros
n61_01 has 8344 (83.9%) zerosZeros
n61_04 has 409 (4.1%) zerosZeros
n61_05 has 9457 (95.1%) zerosZeros
n61_08 has 133 (1.3%) zerosZeros
n61_09 has 9756 (98.1%) zerosZeros
n62 has 9788 (98.4%) zerosZeros
n63 has 9732 (97.8%) zerosZeros
n63_2 has 9601 (96.5%) zerosZeros
n63_3 has 151 (1.5%) zerosZeros
n64 has 7858 (79.0%) zerosZeros
n65 has 6626 (66.6%) zerosZeros
n66 has 9478 (95.3%) zerosZeros
n67 has 2823 (28.4%) zerosZeros
n68_1 has 8463 (85.1%) zerosZeros
n68_2 has 9116 (91.6%) zerosZeros
n68_3 has 159 (1.6%) zerosZeros
n69 has 8630 (86.7%) zerosZeros
n74_5 has 3537 (35.6%) zerosZeros
n74_6 has 8680 (87.2%) zerosZeros
n74_71 has 1007 (10.1%) zerosZeros
n74_72 has 267 (2.7%) zerosZeros
n74_73 has 1055 (10.6%) zerosZeros
n74_74 has 921 (9.3%) zerosZeros
n75_1 has 6328 (63.6%) zerosZeros
n75_3 has 837 (8.4%) zerosZeros
n75_4 has 1047 (10.5%) zerosZeros
n75_5 has 2462 (24.7%) zerosZeros
n76 has 9091 (91.4%) zerosZeros
o2 has 5798 (58.3%) zerosZeros
o5_1 has 7658 (77.0%) zerosZeros
o8 has 5334 (53.6%) zerosZeros
o9 has 5330 (53.6%) zerosZeros
o10 has 3822 (38.4%) zerosZeros
o11 has 5210 (52.4%) zerosZeros
o12 has 3687 (37.1%) zerosZeros
o14 has 9322 (93.7%) zerosZeros
o15_1 has 510 (5.1%) zerosZeros
o15_2 has 571 (5.7%) zerosZeros
o15_3 has 7284 (73.2%) zerosZeros
o15_4 has 9371 (94.2%) zerosZeros
o15_5 has 8839 (88.8%) zerosZeros
o15_6 has 9203 (92.5%) zerosZeros
o16 has 9326 (93.7%) zerosZeros
o17 has 5868 (59.0%) zerosZeros
o17_01 has 9806 (98.6%) zerosZeros
o17_02 has 9372 (94.2%) zerosZeros
o17_03 has 9354 (94.0%) zerosZeros
o17_04 has 8969 (90.1%) zerosZeros
o17_05 has 7965 (80.1%) zerosZeros
o17_06 has 8046 (80.9%) zerosZeros
o17_07 has 9212 (92.6%) zerosZeros
o17_08 has 9199 (92.5%) zerosZeros
o17_09 has 9227 (92.7%) zerosZeros
o17_10 has 8280 (83.2%) zerosZeros
o17_11 has 6501 (65.3%) zerosZeros
o17_12 has 7874 (79.1%) zerosZeros
o17_13 has 8351 (83.9%) zerosZeros
o18 has 9071 (91.2%) zerosZeros
o20 has 9260 (93.1%) zerosZeros
o21 has 6748 (67.8%) zerosZeros
o22 has 7817 (78.6%) zerosZeros
o23 has 9320 (93.7%) zerosZeros
o24 has 9089 (91.4%) zerosZeros
o25 has 8292 (83.3%) zerosZeros
o26 has 7863 (79.0%) zerosZeros
o26_1 has 7166 (72.0%) zerosZeros
o27 has 9158 (92.0%) zerosZeros
p3 has 9176 (92.2%) zerosZeros
p5 has 2813 (28.3%) zerosZeros
p6 has 5769 (58.0%) zerosZeros
p7 has 7334 (73.7%) zerosZeros
p8 has 4393 (44.2%) zerosZeros
p9 has 6670 (67.0%) zerosZeros
p10 has 7484 (75.2%) zerosZeros
p10_1 has 6732 (67.7%) zerosZeros
p12 has 5133 (51.6%) zerosZeros
p13 has 8211 (82.5%) zerosZeros
p14 has 6801 (68.4%) zerosZeros
p15 has 6795 (68.3%) zerosZeros
p16 has 8624 (86.7%) zerosZeros
p17 has 9463 (95.1%) zerosZeros
p18 has 126 (1.3%) zerosZeros
p20 has 9230 (92.8%) zerosZeros
p24 has 8610 (86.5%) zerosZeros
p24_1 has 157 (1.6%) zerosZeros
p24_2 has 235 (2.4%) zerosZeros
p25 has 325 (3.3%) zerosZeros
p26 has 8672 (87.2%) zerosZeros
p26_1 has 123 (1.2%) zerosZeros
p28 has 8948 (89.9%) zerosZeros
p28_1 has 229 (2.3%) zerosZeros
p28_2 has 150 (1.5%) zerosZeros
p29 has 186 (1.9%) zerosZeros
p30 has 9133 (91.8%) zerosZeros
p31_1 has 9033 (90.8%) zerosZeros
p31_3 has 181 (1.8%) zerosZeros
p31_4 has 270 (2.7%) zerosZeros
p31_6 has 1228 (12.3%) zerosZeros
p22 has 9189 (92.4%) zerosZeros
p22_5 has 478 (4.8%) zerosZeros
p33 has 8832 (88.8%) zerosZeros
p34 has 118 (1.2%) zerosZeros
p35 has 6855 (68.9%) zerosZeros
p35_1 has 472 (4.7%) zerosZeros
p35_2 has 215 (2.2%) zerosZeros
p36 has 442 (4.4%) zerosZeros
p36_2 has 1988 (20.0%) zerosZeros
p37 has 9287 (93.3%) zerosZeros
p37_2 has 144 (1.4%) zerosZeros
p38 has 191 (1.9%) zerosZeros
p40 has 9369 (94.2%) zerosZeros
p41 has 120 (1.2%) zerosZeros
p43 has 9478 (95.3%) zerosZeros
p46 has 9694 (97.4%) zerosZeros
p49 has 9233 (92.8%) zerosZeros
p49_2 has 248 (2.5%) zerosZeros
p50 has 306 (3.1%) zerosZeros
p55 has 9556 (96.0%) zerosZeros
p62 has 483 (4.9%) zerosZeros
p65 has 560 (5.6%) zerosZeros
p67 has 476 (4.8%) zerosZeros
p70 has 3516 (35.3%) zerosZeros
p71 has 3304 (33.2%) zerosZeros
p72 has 3192 (32.1%) zerosZeros
p73 has 5993 (60.2%) zerosZeros
p74 has 6385 (64.2%) zerosZeros
p75 has 9262 (93.1%) zerosZeros
p76 has 8178 (82.2%) zerosZeros
p77 has 7763 (78.0%) zerosZeros
p77_1 has 4789 (48.1%) zerosZeros
p78 has 8369 (84.1%) zerosZeros
p79 has 7462 (75.0%) zerosZeros
p80 has 7117 (71.5%) zerosZeros
p81 has 7771 (78.1%) zerosZeros
p82 has 9214 (92.6%) zerosZeros
p85 has 8581 (86.2%) zerosZeros
p88 has 9082 (91.3%) zerosZeros
q1 has 1220 (12.3%) zerosZeros
q2 has 2047 (20.6%) zerosZeros
q7 has 1345 (13.5%) zerosZeros
q8 has 389 (3.9%) zerosZeros
q9 has 1189 (12.0%) zerosZeros
q10 has 832 (8.4%) zerosZeros
q11 has 7377 (74.1%) zerosZeros
q12 has 8586 (86.3%) zerosZeros
q13 has 401 (4.0%) zerosZeros
q15 has 4920 (49.5%) zerosZeros
q16 has 4957 (49.8%) zerosZeros
q17 has 1017 (10.2%) zerosZeros
qp3 has 476 (4.8%) zerosZeros
qp52 has 629 (6.3%) zerosZeros
qp53 has 635 (6.4%) zerosZeros
qp54 has 326 (3.3%) zerosZeros
qp55 has 636 (6.4%) zerosZeros
r1 has 8954 (90.0%) zerosZeros
r2 has 7409 (74.5%) zerosZeros
r3 has 6174 (62.1%) zerosZeros
r4 has 6576 (66.1%) zerosZeros
r5 has 1693 (17.0%) zerosZeros
r6 has 7046 (70.8%) zerosZeros
r7 has 1810 (18.2%) zerosZeros
r8 has 6941 (69.8%) zerosZeros
r9 has 6518 (65.5%) zerosZeros
s1 has 1927 (19.4%) zerosZeros
s4 has 991 (10.0%) zerosZeros
s7 has 1008 (10.1%) zerosZeros
s10 has 9108 (91.5%) zerosZeros
s20 has 8849 (88.9%) zerosZeros
s21 has 8915 (89.6%) zerosZeros
s22 has 6977 (70.1%) zerosZeros
s23 has 8657 (87.0%) zerosZeros
s24 has 8441 (84.8%) zerosZeros
s25 has 7648 (76.9%) zerosZeros
s26 has 8760 (88.0%) zerosZeros
s27 has 8825 (88.7%) zerosZeros
s28_1 has 678 (6.8%) zerosZeros
t1 has 2915 (29.3%) zerosZeros
t3 has 2666 (26.8%) zerosZeros
t4 has 2812 (28.3%) zerosZeros
t7 has 6241 (62.7%) zerosZeros
u1 has 8057 (81.0%) zerosZeros
u4 has 140 (1.4%) zerosZeros
u6 has 2468 (24.8%) zerosZeros
u8 has 2407 (24.2%) zerosZeros
u9 has 6785 (68.2%) zerosZeros
u10 has 4901 (49.3%) zerosZeros
u25 has 2803 (28.2%) zerosZeros
u28 has 3723 (37.4%) zerosZeros
u29 has 3660 (36.8%) zerosZeros
u30 has 5792 (58.2%) zerosZeros
u31 has 5804 (58.3%) zerosZeros
u32 has 8325 (83.7%) zerosZeros
u34 has 176 (1.8%) zerosZeros
u36 has 651 (6.5%) zerosZeros
u42 has 9227 (92.7%) zerosZeros
u46 has 148 (1.5%) zerosZeros
u47 has 9677 (97.3%) zerosZeros
u49 has 8623 (86.7%) zerosZeros
u50_1 has 6959 (69.9%) zerosZeros
u51 has 2235 (22.5%) zerosZeros
u53_1 has 9361 (94.1%) zerosZeros
u54 has 245 (2.5%) zerosZeros
u57 has 9802 (98.5%) zerosZeros
u59_1 has 9606 (96.6%) zerosZeros
u60 has 193 (1.9%) zerosZeros
u62_1 has 9843 (98.9%) zerosZeros
u65_1 has 9837 (98.9%) zerosZeros
u68_1 has 9755 (98.1%) zerosZeros
u71_1 has 9784 (98.3%) zerosZeros
u75 has 8906 (89.5%) zerosZeros
u77_1 has 9750 (98.0%) zerosZeros
u81 has 9054 (91.0%) zerosZeros
mf1 has 1371 (13.8%) zerosZeros
mf23 has 136 (1.4%) zerosZeros
mf25 has 8348 (83.9%) zerosZeros
mf26 has 7681 (77.2%) zerosZeros
mf39 has 7137 (71.7%) zerosZeros
ci1 has 9094 (91.4%) zerosZeros
ci4 has 655 (6.6%) zerosZeros
ci7 has 262 (2.6%) zerosZeros
rendaind has 1981 (19.9%) zerosZeros
propriedades has 974 (9.8%) zerosZeros

Reproduction

Analysis started2023-03-22 17:06:58.709134
Analysis finished2023-03-22 17:07:05.538691
Duration6.83 seconds
Software versionydata-profiling vv4.1.1
Download configurationconfig.json

Variables

id2
Real number (ℝ)

Distinct9949
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20204975
Minimum20200001
Maximum20209949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:05.720690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20200001
5-th percentile20200498.4
Q120202488
median20204975
Q320207462
95-th percentile20209451.6
Maximum20209949
Range9948
Interquartile range (IQR)4974

Descriptive statistics

Standard deviation2872.173248
Coefficient of variation (CV)0.0001421517843
Kurtosis-1.2
Mean20204975
Median Absolute Deviation (MAD)2487
Skewness0
Sum2.010192963 × 1011
Variance8249379.167
MonotonicityStrictly increasing
2023-03-22T13:07:05.894971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200001 1
 
< 0.1%
20206637 1
 
< 0.1%
20206630 1
 
< 0.1%
20206631 1
 
< 0.1%
20206632 1
 
< 0.1%
20206633 1
 
< 0.1%
20206634 1
 
< 0.1%
20206635 1
 
< 0.1%
20206636 1
 
< 0.1%
20206638 1
 
< 0.1%
Other values (9939) 9939
99.9%
ValueCountFrequency (%)
20200001 1
< 0.1%
20200002 1
< 0.1%
20200003 1
< 0.1%
20200004 1
< 0.1%
20200005 1
< 0.1%
ValueCountFrequency (%)
20209949 1
< 0.1%
20209948 1
< 0.1%
20209947 1
< 0.1%
20209946 1
< 0.1%
20209945 1
< 0.1%

iddom2
Real number (ℝ)

Distinct8017
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3995.233491
Minimum1
Maximum8017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:06.074237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile403.4
Q12022
median3946
Q35989
95-th percentile7611.6
Maximum8017
Range8016
Interquartile range (IQR)3967

Descriptive statistics

Standard deviation2316.922825
Coefficient of variation (CV)0.5799217567
Kurtosis-1.194594269
Mean3995.233491
Median Absolute Deviation (MAD)1987
Skewness0.01986967954
Sum39748578
Variance5368131.375
MonotonicityIncreasing
2023-03-22T13:07:06.248126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
880 5
 
0.1%
7821 5
 
0.1%
3198 4
 
< 0.1%
786 4
 
< 0.1%
7339 4
 
< 0.1%
1432 4
 
< 0.1%
2249 4
 
< 0.1%
7515 4
 
< 0.1%
3434 4
 
< 0.1%
2130 4
 
< 0.1%
Other values (8007) 9907
99.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
3 2
< 0.1%
4 3
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
8017 1
< 0.1%
8016 1
< 0.1%
8015 1
< 0.1%
8014 1
< 0.1%
8013 1
< 0.1%

upa
Real number (ℝ)

Distinct312
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.45471907
Minimum1
Maximum313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:06.431325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q121
median38
Q3123
95-th percentile276.6
Maximum313
Range312
Interquartile range (IQR)102

Descriptive statistics

Standard deviation87.49417974
Coefficient of variation (CV)1.101182922
Kurtosis0.298028284
Mean79.45471907
Median Absolute Deviation (MAD)23
Skewness1.291762091
Sum790495
Variance7655.231489
MonotonicityNot monotonic
2023-03-22T13:07:06.594984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 259
 
2.6%
49 237
 
2.4%
32 223
 
2.2%
13 221
 
2.2%
41 202
 
2.0%
45 197
 
2.0%
24 194
 
1.9%
26 192
 
1.9%
21 187
 
1.9%
3 180
 
1.8%
Other values (302) 7857
79.0%
ValueCountFrequency (%)
1 99
1.0%
2 134
1.3%
3 180
1.8%
4 139
1.4%
5 110
1.1%
ValueCountFrequency (%)
313 16
0.2%
312 14
0.1%
311 17
0.2%
310 11
0.1%
309 10
0.1%

peso_calibrado
Real number (ℝ)

Distinct5360
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5434.934064
Minimum459.3608994
Maximum117718.9167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:06.765830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum459.3608994
5-th percentile1518.299856
Q12652.661559
median4061.785368
Q36556.203917
95-th percentile13569.79248
Maximum117718.9167
Range117259.5558
Interquartile range (IQR)3903.542359

Descriptive statistics

Standard deviation4832.224297
Coefficient of variation (CV)0.8891044934
Kurtosis51.82584902
Mean5434.934064
Median Absolute Deviation (MAD)1697.112426
Skewness4.63355371
Sum54072159
Variance23350391.66
MonotonicityNot monotonic
2023-03-22T13:07:06.942269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6188.804989 10
 
0.1%
3850.933959 8
 
0.1%
6540.584763 8
 
0.1%
1976.751358 8
 
0.1%
5798.688716 8
 
0.1%
7047.412734 8
 
0.1%
2929.354793 7
 
0.1%
3600.886859 7
 
0.1%
5919.668372 7
 
0.1%
8054.016333 7
 
0.1%
Other values (5350) 9871
99.2%
ValueCountFrequency (%)
459.3608994 3
< 0.1%
499.3419573 1
 
< 0.1%
524.0308055 1
 
< 0.1%
557.2953737 2
< 0.1%
577.1554842 1
 
< 0.1%
ValueCountFrequency (%)
117718.9167 1
< 0.1%
80347.20999 1
< 0.1%
61446.11871 1
< 0.1%
60902.2933 1
< 0.1%
57336.80875 1
< 0.1%

estrato
Real number (ℝ)

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.0860388
Minimum11
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:07.101861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q130
median35
Q347
95-th percentile55
Maximum58
Range47
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.84503048
Coefficient of variation (CV)0.3661009029
Kurtosis-0.8964694726
Mean35.0860388
Median Absolute Deviation (MAD)9
Skewness0.1029577403
Sum349071
Variance164.9948081
MonotonicityNot monotonic
2023-03-22T13:07:07.258858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
30 2298
23.1%
35 1888
19.0%
54 681
 
6.8%
50 414
 
4.2%
48 343
 
3.4%
55 243
 
2.4%
26 221
 
2.2%
17 211
 
2.1%
58 208
 
2.1%
47 193
 
1.9%
Other values (28) 3249
32.7%
ValueCountFrequency (%)
11 134
1.3%
12 168
1.7%
13 132
1.3%
14 135
1.4%
15 180
1.8%
ValueCountFrequency (%)
58 208
 
2.1%
57 186
 
1.9%
56 71
 
0.7%
55 243
 
2.4%
54 681
6.8%

regiao
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.925319128
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:07.391559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.058953445
Coefficient of variation (CV)0.361995871
Kurtosis-0.3269380648
Mean2.925319128
Median Absolute Deviation (MAD)1
Skewness0.3085697921
Sum29104
Variance1.1213824
MonotonicityIncreasing
2023-03-22T13:07:07.504821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4114
41.4%
2 2707
27.2%
4 1336
 
13.4%
5 1053
 
10.6%
1 739
 
7.4%
ValueCountFrequency (%)
1 739
 
7.4%
2 2707
27.2%
3 4114
41.4%
4 1336
 
13.4%
5 1053
 
10.6%
ValueCountFrequency (%)
5 1053
 
10.6%
4 1336
 
13.4%
3 4114
41.4%
2 2707
27.2%
1 739
 
7.4%

zona
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.161825309
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:07.628131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3683089913
Coefficient of variation (CV)0.3170089242
Kurtosis1.373865191
Mean1.161825309
Median Absolute Deviation (MAD)0
Skewness1.836733255
Sum11559
Variance0.1356515131
MonotonicityNot monotonic
2023-03-22T13:07:07.739436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 8339
83.8%
2 1610
 
16.2%
ValueCountFrequency (%)
1 8339
83.8%
2 1610
 
16.2%
ValueCountFrequency (%)
2 1610
 
16.2%
1 8339
83.8%

nmoradores
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.326263946
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:07.856987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum12
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3263645
Coefficient of variation (CV)0.5701693919
Kurtosis5.177132399
Mean2.326263946
Median Absolute Deviation (MAD)1
Skewness1.729435493
Sum23144
Variance1.759242786
MonotonicityNot monotonic
2023-03-22T13:07:08.365715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3978
40.0%
1 2734
27.5%
3 1664
16.7%
4 921
 
9.3%
5 382
 
3.8%
6 142
 
1.4%
7 73
 
0.7%
8 25
 
0.3%
9 14
 
0.1%
11 9
 
0.1%
Other values (2) 7
 
0.1%
ValueCountFrequency (%)
1 2734
27.5%
2 3978
40.0%
3 1664
16.7%
4 921
 
9.3%
5 382
 
3.8%
ValueCountFrequency (%)
12 5
 
0.1%
11 9
 
0.1%
10 2
 
< 0.1%
9 14
0.1%
8 25
0.3%

ar8
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4512011257
Minimum0
Maximum1
Zeros5460
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:08.481832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.497637982
Coefficient of variation (CV)1.102918308
Kurtosis-1.961915133
Mean0.4512011257
Median Absolute Deviation (MAD)0
Skewness0.1961614177
Sum4489
Variance0.2476435612
MonotonicityNot monotonic
2023-03-22T13:07:08.595097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5460
54.9%
1 4489
45.1%
ValueCountFrequency (%)
0 5460
54.9%
1 4489
45.1%
ValueCountFrequency (%)
1 4489
45.1%
0 5460
54.9%

ar10
Real number (ℝ)

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.54176299
Minimum22
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:08.741558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile53
Q158
median65
Q374
95-th percentile84.6
Maximum109
Range87
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.00492389
Coefficient of variation (CV)0.1503555577
Kurtosis-0.1376268198
Mean66.54176299
Median Absolute Deviation (MAD)7
Skewness0.5083325721
Sum662024
Variance100.098502
MonotonicityNot monotonic
2023-03-22T13:07:08.901065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 454
 
4.6%
63 409
 
4.1%
58 399
 
4.0%
56 395
 
4.0%
62 381
 
3.8%
60 378
 
3.8%
55 372
 
3.7%
54 370
 
3.7%
66 369
 
3.7%
64 356
 
3.6%
Other values (58) 6066
61.0%
ValueCountFrequency (%)
22 1
 
< 0.1%
25 1
 
< 0.1%
28 2
< 0.1%
33 2
< 0.1%
39 3
< 0.1%
ValueCountFrequency (%)
109 3
< 0.1%
108 1
 
< 0.1%
101 2
 
< 0.1%
100 5
0.1%
99 5
0.1%

idade2
Real number (ℝ)

Distinct101
Distinct (%)1.4%
Missing2734
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean57.44837145
Minimum0
Maximum119
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:09.061638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q150
median59
Q368
95-th percentile83
Maximum119
Range119
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.98988805
Coefficient of variation (CV)0.2957418569
Kurtosis0.3315413006
Mean57.44837145
Median Absolute Deviation (MAD)9
Skewness-0.5368601729
Sum414490
Variance288.6562959
MonotonicityNot monotonic
2023-03-22T13:07:09.233262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 244
 
2.5%
58 223
 
2.2%
61 220
 
2.2%
54 216
 
2.2%
62 214
 
2.2%
56 214
 
2.2%
63 201
 
2.0%
65 198
 
2.0%
53 195
 
2.0%
60 191
 
1.9%
Other values (91) 5099
51.3%
(Missing) 2734
27.5%
ValueCountFrequency (%)
0 14
0.1%
2 1
 
< 0.1%
3 3
 
< 0.1%
5 5
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
119 1
 
< 0.1%
101 2
 
< 0.1%
100 2
 
< 0.1%
99 6
0.1%
98 5
0.1%

sexo2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing2734
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean0.3994455994
Minimum0
Maximum1
Zeros4333
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:09.377450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4898184008
Coefficient of variation (CV)1.22624558
Kurtosis-1.831839835
Mean0.3994455994
Median Absolute Deviation (MAD)0
Skewness0.4106921334
Sum2882
Variance0.2399220658
MonotonicityNot monotonic
2023-03-22T13:07:09.487767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 4333
43.6%
1 2882
29.0%
(Missing) 2734
27.5%
ValueCountFrequency (%)
0 4333
43.6%
1 2882
29.0%
ValueCountFrequency (%)
1 2882
29.0%
0 4333
43.6%

relacao2
Real number (ℝ)

Distinct14
Distinct (%)0.2%
Missing2734
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean3.376022176
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:09.599853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.94329676
Coefficient of variation (CV)0.8718238823
Kurtosis3.878423028
Mean3.376022176
Median Absolute Deviation (MAD)0
Skewness2.275084365
Sum24358
Variance8.662995819
MonotonicityNot monotonic
2023-03-22T13:07:09.715973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 4849
48.7%
3 1227
 
12.3%
12 313
 
3.1%
11 268
 
2.7%
8 215
 
2.2%
6 200
 
2.0%
5 35
 
0.4%
9 28
 
0.3%
13 21
 
0.2%
16 21
 
0.2%
Other values (4) 38
 
0.4%
(Missing) 2734
27.5%
ValueCountFrequency (%)
1 7
 
0.1%
2 4849
48.7%
3 1227
 
12.3%
4 8
 
0.1%
5 35
 
0.4%
ValueCountFrequency (%)
16 21
 
0.2%
14 17
 
0.2%
13 21
 
0.2%
12 313
3.1%
11 268
2.7%

idade3
Real number (ℝ)

Distinct100
Distinct (%)3.1%
Missing6712
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean34.45999382
Minimum0
Maximum99
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:09.874214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q120
median31
Q345
95-th percentile77
Maximum99
Range99
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.7552552
Coefficient of variation (CV)0.5732808688
Kurtosis0.6296618069
Mean34.45999382
Median Absolute Deviation (MAD)12
Skewness0.9430512705
Sum111547
Variance390.2701079
MonotonicityNot monotonic
2023-03-22T13:07:10.049018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 100
 
1.0%
28 95
 
1.0%
30 94
 
0.9%
19 88
 
0.9%
27 87
 
0.9%
32 87
 
0.9%
21 85
 
0.9%
26 84
 
0.8%
23 83
 
0.8%
17 81
 
0.8%
Other values (90) 2353
 
23.7%
(Missing) 6712
67.5%
ValueCountFrequency (%)
0 16
0.2%
1 13
0.1%
2 8
0.1%
3 8
0.1%
4 17
0.2%
ValueCountFrequency (%)
99 2
 
< 0.1%
98 10
0.1%
97 3
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%

sexo3
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.1%
Missing6712
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean0.546802595
Minimum0
Maximum1
Zeros1467
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:10.191477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4978816085
Coefficient of variation (CV)0.9105326365
Kurtosis-1.965824656
Mean0.546802595
Median Absolute Deviation (MAD)0
Skewness-0.1881231576
Sum1770
Variance0.2478860961
MonotonicityNot monotonic
2023-03-22T13:07:10.308596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1770
 
17.8%
0 1467
 
14.7%
(Missing) 6712
67.5%
ValueCountFrequency (%)
0 1467
14.7%
1 1770
17.8%
ValueCountFrequency (%)
1 1770
17.8%
0 1467
14.7%

relacao3
Real number (ℝ)

Distinct14
Distinct (%)0.4%
Missing6712
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean4.882298424
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:10.427146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q36
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.074887101
Coefficient of variation (CV)0.6298031857
Kurtosis1.173366253
Mean4.882298424
Median Absolute Deviation (MAD)0
Skewness1.51177953
Sum15804
Variance9.454930686
MonotonicityNot monotonic
2023-03-22T13:07:10.547620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 1861
 
18.7%
6 484
 
4.9%
12 241
 
2.4%
5 156
 
1.6%
2 131
 
1.3%
11 123
 
1.2%
8 93
 
0.9%
9 43
 
0.4%
4 38
 
0.4%
7 24
 
0.2%
Other values (4) 43
 
0.4%
(Missing) 6712
67.5%
ValueCountFrequency (%)
1 3
 
< 0.1%
2 131
 
1.3%
3 1861
18.7%
4 38
 
0.4%
5 156
 
1.6%
ValueCountFrequency (%)
16 13
 
0.1%
14 17
 
0.2%
13 10
 
0.1%
12 241
2.4%
11 123
1.2%

idade4
Real number (ℝ)

Distinct87
Distinct (%)5.5%
Missing8376
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean25.40940877
Minimum0
Maximum95
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:10.706867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q114
median21
Q332
95-th percentile59
Maximum95
Range95
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.58364852
Coefficient of variation (CV)0.6920132882
Kurtosis2.071656265
Mean25.40940877
Median Absolute Deviation (MAD)9
Skewness1.341611997
Sum39969
Variance309.1846951
MonotonicityNot monotonic
2023-03-22T13:07:10.870517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 67
 
0.7%
20 65
 
0.7%
13 50
 
0.5%
16 50
 
0.5%
19 49
 
0.5%
14 47
 
0.5%
24 47
 
0.5%
21 47
 
0.5%
25 43
 
0.4%
22 42
 
0.4%
Other values (77) 1066
 
10.7%
(Missing) 8376
84.2%
ValueCountFrequency (%)
0 18
0.2%
1 22
0.2%
2 26
0.3%
3 13
0.1%
4 17
0.2%
ValueCountFrequency (%)
95 1
 
< 0.1%
94 1
 
< 0.1%
93 4
< 0.1%
89 4
< 0.1%
88 1
 
< 0.1%

sexo4
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.1%
Missing8376
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean0.5244755245
Minimum0
Maximum1
Zeros748
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:11.005004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4995594066
Coefficient of variation (CV)0.9524932685
Kurtosis-1.992909318
Mean0.5244755245
Median Absolute Deviation (MAD)0
Skewness-0.09811319062
Sum825
Variance0.2495596007
MonotonicityNot monotonic
2023-03-22T13:07:11.115132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 825
 
8.3%
0 748
 
7.5%
(Missing) 8376
84.2%
ValueCountFrequency (%)
0 748
7.5%
1 825
8.3%
ValueCountFrequency (%)
1 825
8.3%
0 748
7.5%

relacao4
Real number (ℝ)

Distinct14
Distinct (%)0.9%
Missing8376
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean5.04259377
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:11.226799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q36
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.66397919
Coefficient of variation (CV)0.5282954193
Kurtosis1.803666805
Mean5.04259377
Median Absolute Deviation (MAD)2
Skewness1.453520595
Sum7932
Variance7.096785126
MonotonicityNot monotonic
2023-03-22T13:07:11.347134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 720
 
7.2%
6 501
 
5.0%
12 91
 
0.9%
5 88
 
0.9%
11 43
 
0.4%
2 39
 
0.4%
7 30
 
0.3%
8 26
 
0.3%
4 18
 
0.2%
9 5
 
0.1%
Other values (4) 12
 
0.1%
(Missing) 8376
84.2%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 39
 
0.4%
3 720
7.2%
4 18
 
0.2%
5 88
 
0.9%
ValueCountFrequency (%)
16 4
 
< 0.1%
14 4
 
< 0.1%
13 2
 
< 0.1%
12 91
0.9%
11 43
0.4%

idade5
Real number (ℝ)

Distinct76
Distinct (%)11.7%
Missing9297
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean21.42638037
Minimum0
Maximum92
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:11.506382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median16
Q327
95-th percentile60
Maximum92
Range92
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.74081473
Coefficient of variation (CV)0.8279893489
Kurtosis2.896512891
Mean21.42638037
Median Absolute Deviation (MAD)8
Skewness1.641096044
Sum13970
Variance314.7365073
MonotonicityNot monotonic
2023-03-22T13:07:11.670149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 33
 
0.3%
16 30
 
0.3%
14 27
 
0.3%
8 24
 
0.2%
10 23
 
0.2%
26 22
 
0.2%
15 22
 
0.2%
13 21
 
0.2%
7 21
 
0.2%
5 20
 
0.2%
Other values (66) 409
 
4.1%
(Missing) 9297
93.4%
ValueCountFrequency (%)
0 14
0.1%
1 11
0.1%
2 15
0.2%
3 14
0.1%
4 12
0.1%
ValueCountFrequency (%)
92 1
< 0.1%
91 1
< 0.1%
90 1
< 0.1%
89 1
< 0.1%
88 1
< 0.1%

sexo5
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing9297
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean0.5352760736
Minimum0
Maximum1
Zeros303
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:11.804771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4991369669
Coefficient of variation (CV)0.9324851071
Kurtosis-1.985999002
Mean0.5352760736
Median Absolute Deviation (MAD)0
Skewness-0.1417831887
Sum349
Variance0.2491377117
MonotonicityNot monotonic
2023-03-22T13:07:11.921441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 349
 
3.5%
0 303
 
3.0%
(Missing) 9297
93.4%
ValueCountFrequency (%)
0 303
3.0%
1 349
3.5%
ValueCountFrequency (%)
1 349
3.5%
0 303
3.0%

relacao5
Real number (ℝ)

Distinct13
Distinct (%)2.0%
Missing9297
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean5.418711656
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:12.038995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median6
Q36
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.523831639
Coefficient of variation (CV)0.4657623064
Kurtosis1.755297495
Mean5.418711656
Median Absolute Deviation (MAD)1
Skewness1.233181235
Sum3533
Variance6.369726141
MonotonicityNot monotonic
2023-03-22T13:07:12.156337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 298
 
3.0%
3 221
 
2.2%
12 37
 
0.4%
5 22
 
0.2%
7 22
 
0.2%
11 16
 
0.2%
2 12
 
0.1%
4 8
 
0.1%
9 7
 
0.1%
8 4
 
< 0.1%
Other values (3) 5
 
0.1%
(Missing) 9297
93.4%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 12
 
0.1%
3 221
2.2%
4 8
 
0.1%
5 22
 
0.2%
ValueCountFrequency (%)
16 2
 
< 0.1%
13 1
 
< 0.1%
12 37
0.4%
11 16
0.2%
9 7
 
0.1%

idade6
Real number (ℝ)

Distinct53
Distinct (%)19.6%
Missing9679
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean19.36666667
Minimum0
Maximum95
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:12.312835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median15
Q325
95-th percentile55
Maximum95
Range95
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.43831547
Coefficient of variation (CV)0.8487942585
Kurtosis3.709913143
Mean19.36666667
Median Absolute Deviation (MAD)8.5
Skewness1.676767112
Sum5229
Variance270.2182156
MonotonicityNot monotonic
2023-03-22T13:07:12.474613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 15
 
0.2%
5 13
 
0.1%
10 12
 
0.1%
12 10
 
0.1%
6 10
 
0.1%
18 9
 
0.1%
4 9
 
0.1%
0 9
 
0.1%
22 9
 
0.1%
23 9
 
0.1%
Other values (43) 165
 
1.7%
(Missing) 9679
97.3%
ValueCountFrequency (%)
0 9
0.1%
1 7
0.1%
2 3
 
< 0.1%
3 4
< 0.1%
4 9
0.1%
ValueCountFrequency (%)
95 2
< 0.1%
84 1
< 0.1%
68 2
< 0.1%
62 1
< 0.1%
60 1
< 0.1%

sexo6
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.7%
Missing9679
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean0.5148148148
Minimum0
Maximum1
Zeros131
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:12.607133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5007085713
Coefficient of variation (CV)0.9725993831
Kurtosis-2.011400561
Mean0.5148148148
Median Absolute Deviation (MAD)0
Skewness-0.05961700674
Sum139
Variance0.2507090734
MonotonicityNot monotonic
2023-03-22T13:07:12.724507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 139
 
1.4%
0 131
 
1.3%
(Missing) 9679
97.3%
ValueCountFrequency (%)
0 131
1.3%
1 139
1.4%
ValueCountFrequency (%)
1 139
1.4%
0 131
1.3%

relacao6
Real number (ℝ)

Distinct9
Distinct (%)3.3%
Missing9679
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean5.214814815
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:12.843055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median6
Q36
95-th percentile9.65
Maximum12
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.111695825
Coefficient of variation (CV)0.4049416711
Kurtosis2.107581174
Mean5.214814815
Median Absolute Deviation (MAD)0
Skewness1.038970848
Sum1408
Variance4.459259259
MonotonicityNot monotonic
2023-03-22T13:07:12.968183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 139
 
1.4%
3 83
 
0.8%
5 13
 
0.1%
2 9
 
0.1%
12 8
 
0.1%
7 8
 
0.1%
11 6
 
0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
(Missing) 9679
97.3%
ValueCountFrequency (%)
2 9
 
0.1%
3 83
0.8%
4 2
 
< 0.1%
5 13
 
0.1%
6 139
1.4%
ValueCountFrequency (%)
12 8
 
0.1%
11 6
 
0.1%
8 2
 
< 0.1%
7 8
 
0.1%
6 139
1.4%

idade7
Real number (ℝ)

Distinct36
Distinct (%)28.1%
Missing9821
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean16.1875
Minimum0
Maximum52
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:13.103811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q16
median12
Q323
95-th percentile44.9
Maximum52
Range52
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.42564827
Coefficient of variation (CV)0.829383677
Kurtosis0.006109363572
Mean16.1875
Median Absolute Deviation (MAD)8
Skewness0.961047124
Sum2072
Variance180.2480315
MonotonicityNot monotonic
2023-03-22T13:07:13.262111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 8
 
0.1%
6 8
 
0.1%
2 7
 
0.1%
17 7
 
0.1%
7 7
 
0.1%
32 6
 
0.1%
10 5
 
0.1%
8 5
 
0.1%
18 5
 
0.1%
1 4
 
< 0.1%
Other values (26) 66
 
0.7%
(Missing) 9821
98.7%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 4
< 0.1%
2 7
0.1%
3 4
< 0.1%
4 8
0.1%
ValueCountFrequency (%)
52 1
 
< 0.1%
50 2
< 0.1%
47 4
< 0.1%
41 3
< 0.1%
39 2
< 0.1%

sexo7
Real number (ℝ)

Distinct2
Distinct (%)1.6%
Missing9821
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean0.515625
Minimum0
Maximum1
Zeros62
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:13.395693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5017194843
Coefficient of variation (CV)0.9730317272
Kurtosis-2.027932784
Mean0.515625
Median Absolute Deviation (MAD)0
Skewness-0.06327446459
Sum66
Variance0.2517224409
MonotonicityNot monotonic
2023-03-22T13:07:13.510166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 66
 
0.7%
0 62
 
0.6%
(Missing) 9821
98.7%
ValueCountFrequency (%)
0 62
0.6%
1 66
0.7%
ValueCountFrequency (%)
1 66
0.7%
0 62
0.6%

relacao7
Real number (ℝ)

Distinct8
Distinct (%)6.2%
Missing9821
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean5.6953125
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:13.627508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median6
Q36
95-th percentile10.3
Maximum12
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.954436076
Coefficient of variation (CV)0.3431657307
Kurtosis2.428760963
Mean5.6953125
Median Absolute Deviation (MAD)0
Skewness0.996498486
Sum729
Variance3.819820374
MonotonicityNot monotonic
2023-03-22T13:07:13.732107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 78
 
0.8%
3 27
 
0.3%
5 6
 
0.1%
7 5
 
0.1%
11 4
 
< 0.1%
12 3
 
< 0.1%
9 3
 
< 0.1%
4 2
 
< 0.1%
(Missing) 9821
98.7%
ValueCountFrequency (%)
3 27
 
0.3%
4 2
 
< 0.1%
5 6
 
0.1%
6 78
0.8%
7 5
 
0.1%
ValueCountFrequency (%)
12 3
 
< 0.1%
11 4
 
< 0.1%
9 3
 
< 0.1%
7 5
 
0.1%
6 78
0.8%

idade8
Real number (ℝ)

Distinct22
Distinct (%)40.0%
Missing9894
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean15.94545455
Minimum0
Maximum70
Zeros7
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:13.850628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q319.5
95-th percentile48
Maximum70
Range70
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation17.78099087
Coefficient of variation (CV)1.115113453
Kurtosis1.250812761
Mean15.94545455
Median Absolute Deviation (MAD)9
Skewness1.396583603
Sum877
Variance316.1636364
MonotonicityNot monotonic
2023-03-22T13:07:13.983805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 7
 
0.1%
13 6
 
0.1%
19 5
 
0.1%
45 4
 
< 0.1%
1 4
 
< 0.1%
2 4
 
< 0.1%
4 3
 
< 0.1%
3 3
 
< 0.1%
11 3
 
< 0.1%
48 3
 
< 0.1%
Other values (12) 13
 
0.1%
(Missing) 9894
99.4%
ValueCountFrequency (%)
0 7
0.1%
1 4
< 0.1%
2 4
< 0.1%
3 3
< 0.1%
4 3
< 0.1%
ValueCountFrequency (%)
70 1
 
< 0.1%
65 1
 
< 0.1%
48 3
< 0.1%
45 4
< 0.1%
29 1
 
< 0.1%

sexo8
Real number (ℝ)

Distinct2
Distinct (%)3.6%
Missing9894
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean0.4909090909
Minimum0
Maximum1
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:14.117485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5045249791
Coefficient of variation (CV)1.027736069
Kurtosis-2.075471698
Mean0.4909090909
Median Absolute Deviation (MAD)0
Skewness0.03739740411
Sum27
Variance0.2545454545
MonotonicityNot monotonic
2023-03-22T13:07:14.229487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 28
 
0.3%
1 27
 
0.3%
(Missing) 9894
99.4%
ValueCountFrequency (%)
0 28
0.3%
1 27
0.3%
ValueCountFrequency (%)
1 27
0.3%
0 28
0.3%

relacao8
Real number (ℝ)

Distinct7
Distinct (%)12.7%
Missing9894
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean5.545454545
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:14.342431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median6
Q36
95-th percentile7
Maximum12
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.813715052
Coefficient of variation (CV)0.32706337
Kurtosis3.086803051
Mean5.545454545
Median Absolute Deviation (MAD)0
Skewness0.7356575597
Sum305
Variance3.28956229
MonotonicityNot monotonic
2023-03-22T13:07:14.464852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 28
 
0.3%
3 11
 
0.1%
7 7
 
0.1%
5 6
 
0.1%
2 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
(Missing) 9894
99.4%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 11
 
0.1%
5 6
 
0.1%
6 28
0.3%
7 7
 
0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
7 7
 
0.1%
6 28
0.3%
5 6
 
0.1%

idade9
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing9919
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20.2
Minimum0
Maximum72
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:14.587486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14.25
median16
Q322
95-th percentile72
Maximum72
Range72
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation22.2561886
Coefficient of variation (CV)1.101791515
Kurtosis1.818927738
Mean20.2
Median Absolute Deviation (MAD)11
Skewness1.667949896
Sum606
Variance495.337931
MonotonicityNot monotonic
2023-03-22T13:07:14.704772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
22 5
 
0.1%
3 4
 
< 0.1%
72 4
 
< 0.1%
16 3
 
< 0.1%
1 2
 
< 0.1%
5 2
 
< 0.1%
27 2
 
< 0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 9919
99.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
< 0.1%
3 4
< 0.1%
4 1
 
< 0.1%
5 2
< 0.1%
ValueCountFrequency (%)
72 4
< 0.1%
27 2
 
< 0.1%
22 5
0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%

sexo9
Real number (ℝ)

Distinct2
Distinct (%)6.7%
Missing9919
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean0.5333333333
Minimum0
Maximum1
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:14.826758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5074162634
Coefficient of variation (CV)0.9514054939
Kurtosis-2.126913265
Mean0.5333333333
Median Absolute Deviation (MAD)0
Skewness-0.1407691802
Sum16
Variance0.2574712644
MonotonicityNot monotonic
2023-03-22T13:07:14.941033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 16
 
0.2%
0 14
 
0.1%
(Missing) 9919
99.7%
ValueCountFrequency (%)
0 14
0.1%
1 16
0.2%
ValueCountFrequency (%)
1 16
0.2%
0 14
0.1%

relacao9
Real number (ℝ)

Distinct4
Distinct (%)13.3%
Missing9919
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean8.1
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:15.056315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q16
median6.5
Q312
95-th percentile12
Maximum12
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.417500599
Coefficient of variation (CV)0.4219136542
Kurtosis-1.564565566
Mean8.1
Median Absolute Deviation (MAD)3.5
Skewness0.06975579893
Sum243
Variance11.67931034
MonotonicityNot monotonic
2023-03-22T13:07:15.161916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
12 12
 
0.1%
6 11
 
0.1%
3 4
 
< 0.1%
7 3
 
< 0.1%
(Missing) 9919
99.7%
ValueCountFrequency (%)
3 4
 
< 0.1%
6 11
0.1%
7 3
 
< 0.1%
12 12
0.1%
ValueCountFrequency (%)
12 12
0.1%
7 3
 
< 0.1%
6 11
0.1%
3 4
 
< 0.1%

idade10
Real number (ℝ)

Distinct8
Distinct (%)50.0%
Missing9933
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean19.0625
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:15.271091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median23
Q324
95-th percentile41.75
Maximum50
Range48
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.82494726
Coefficient of variation (CV)0.7252431348
Kurtosis0.1622712816
Mean19.0625
Median Absolute Deviation (MAD)6
Skewness0.491782762
Sum305
Variance191.1291667
MonotonicityNot monotonic
2023-03-22T13:07:15.855542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
24 5
 
0.1%
23 3
 
< 0.1%
4 2
 
< 0.1%
2 2
 
< 0.1%
50 1
 
< 0.1%
3 1
 
< 0.1%
39 1
 
< 0.1%
12 1
 
< 0.1%
(Missing) 9933
99.8%
ValueCountFrequency (%)
2 2
< 0.1%
3 1
 
< 0.1%
4 2
< 0.1%
12 1
 
< 0.1%
23 3
< 0.1%
ValueCountFrequency (%)
50 1
 
< 0.1%
39 1
 
< 0.1%
24 5
0.1%
23 3
< 0.1%
12 1
 
< 0.1%

sexo10
Real number (ℝ)

Distinct2
Distinct (%)12.5%
Missing9933
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean0.75
Minimum0
Maximum1
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:15.967264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.596284794
Kurtosis-0.4395604396
Mean0.75
Median Absolute Deviation (MAD)0
Skewness-1.27775313
Sum12
Variance0.2
MonotonicityNot monotonic
2023-03-22T13:07:16.081774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 12
 
0.1%
0 4
 
< 0.1%
(Missing) 9933
99.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 12
0.1%
ValueCountFrequency (%)
1 12
0.1%
0 4
 
< 0.1%

relacao10
Real number (ℝ)

Distinct5
Distinct (%)31.2%
Missing9933
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean6.8125
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:16.196612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q16
median6
Q37
95-th percentile12
Maximum12
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.80995255
Coefficient of variation (CV)0.4124700991
Kurtosis0.4611797835
Mean6.8125
Median Absolute Deviation (MAD)0.5
Skewness1.02240111
Sum109
Variance7.895833333
MonotonicityNot monotonic
2023-03-22T13:07:16.297416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
6 8
 
0.1%
12 3
 
< 0.1%
7 2
 
< 0.1%
3 2
 
< 0.1%
5 1
 
< 0.1%
(Missing) 9933
99.8%
ValueCountFrequency (%)
3 2
 
< 0.1%
5 1
 
< 0.1%
6 8
0.1%
7 2
 
< 0.1%
12 3
 
< 0.1%
ValueCountFrequency (%)
12 3
 
< 0.1%
7 2
 
< 0.1%
6 8
0.1%
5 1
 
< 0.1%
3 2
 
< 0.1%

idade11
Real number (ℝ)

Distinct6
Distinct (%)42.9%
Missing9935
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean6.428571429
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:16.396849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median7
Q38
95-th percentile12.05
Maximum14
Range13
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.070801957
Coefficient of variation (CV)0.6332358599
Kurtosis-0.5555522064
Mean6.428571429
Median Absolute Deviation (MAD)2
Skewness-0.07460778762
Sum90
Variance16.57142857
MonotonicityNot monotonic
2023-03-22T13:07:16.514607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 5
 
0.1%
1 4
 
< 0.1%
8 2
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 9935
99.9%
ValueCountFrequency (%)
1 4
< 0.1%
7 5
0.1%
8 2
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
8 2
 
< 0.1%
7 5
0.1%

sexo11
Real number (ℝ)

Distinct2
Distinct (%)14.3%
Missing9935
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean0.7142857143
Minimum0
Maximum1
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:16.630040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.4688072309
Coefficient of variation (CV)0.6563301233
Kurtosis-1.034090909
Mean0.7142857143
Median Absolute Deviation (MAD)0
Skewness-1.06653645
Sum10
Variance0.2197802198
MonotonicityNot monotonic
2023-03-22T13:07:16.741890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 10
 
0.1%
0 4
 
< 0.1%
(Missing) 9935
99.9%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 10
0.1%
ValueCountFrequency (%)
1 10
0.1%
0 4
 
< 0.1%

relacao11
Real number (ℝ)

Distinct4
Distinct (%)28.6%
Missing9935
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean8.285714286
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:16.853424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.95
Q16.25
median7
Q312
95-th percentile12
Maximum12
Range9
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation3.049049573
Coefficient of variation (CV)0.3679887415
Kurtosis-1.252913929
Mean8.285714286
Median Absolute Deviation (MAD)1
Skewness0.1965500284
Sum116
Variance9.296703297
MonotonicityNot monotonic
2023-03-22T13:07:16.952875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7 5
 
0.1%
12 5
 
0.1%
6 3
 
< 0.1%
3 1
 
< 0.1%
(Missing) 9935
99.9%
ValueCountFrequency (%)
3 1
 
< 0.1%
6 3
< 0.1%
7 5
0.1%
12 5
0.1%
ValueCountFrequency (%)
12 5
0.1%
7 5
0.1%
6 3
< 0.1%
3 1
 
< 0.1%

idade12
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)20.0%
Missing9944
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:17.057498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2023-03-22T13:07:17.160160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 5
 
0.1%
(Missing) 9944
99.9%
ValueCountFrequency (%)
1 5
0.1%
ValueCountFrequency (%)
1 5
0.1%

sexo12
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)20.0%
Missing9944
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:17.266242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum5
Variance0
MonotonicityIncreasing
2023-03-22T13:07:17.369673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 5
 
0.1%
(Missing) 9944
99.9%
ValueCountFrequency (%)
1 5
0.1%
ValueCountFrequency (%)
1 5
0.1%

relacao12
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)20.0%
Missing9944
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean7
Minimum7
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:17.475682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean7
Median Absolute Deviation (MAD)0
Skewness0
Sum35
Variance0
MonotonicityIncreasing
2023-03-22T13:07:17.578245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
7 5
 
0.1%
(Missing) 9944
99.9%
ValueCountFrequency (%)
7 5
0.1%
ValueCountFrequency (%)
7 5
0.1%

a1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.061312695
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:17.685049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.239915055
Coefficient of variation (CV)0.226055013
Kurtosis11.38147567
Mean1.061312695
Median Absolute Deviation (MAD)0
Skewness3.657757202
Sum10559
Variance0.05755923364
MonotonicityNot monotonic
2023-03-22T13:07:17.796021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 9339
93.9%
2 610
 
6.1%
ValueCountFrequency (%)
1 9339
93.9%
2 610
 
6.1%
ValueCountFrequency (%)
2 610
 
6.1%
1 9339
93.9%

a2
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2539953764
Minimum0
Maximum1
Zeros7422
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:17.905639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4353168644
Coefficient of variation (CV)1.713877121
Kurtosis-0.7222060813
Mean0.2539953764
Median Absolute Deviation (MAD)0
Skewness1.130459703
Sum2527
Variance0.1895007724
MonotonicityNot monotonic
2023-03-22T13:07:18.022111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 7422
74.6%
1 2527
 
25.4%
ValueCountFrequency (%)
0 7422
74.6%
1 2527
 
25.4%
ValueCountFrequency (%)
1 2527
 
25.4%
0 7422
74.6%

a3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.37983717
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:18.136521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.801386786
Coefficient of variation (CV)0.4391000447
Kurtosis-0.5182070881
Mean6.37983717
Median Absolute Deviation (MAD)0
Skewness-1.186775861
Sum63473
Variance7.847767927
MonotonicityNot monotonic
2023-03-22T13:07:18.246823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7422
74.6%
1 1343
 
13.5%
2 798
 
8.0%
3 386
 
3.9%
ValueCountFrequency (%)
1 1343
 
13.5%
2 798
 
8.0%
3 386
 
3.9%
8 7422
74.6%
ValueCountFrequency (%)
8 7422
74.6%
3 386
 
3.9%
2 798
 
8.0%
1 1343
 
13.5%

a4
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1102623379
Minimum0
Maximum1
Zeros8852
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:18.370084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3132322086
Coefficient of variation (CV)2.840790559
Kurtosis4.195918082
Mean0.1102623379
Median Absolute Deviation (MAD)0
Skewness2.488990686
Sum1097
Variance0.0981144165
MonotonicityNot monotonic
2023-03-22T13:07:18.479817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8852
89.0%
1 1097
 
11.0%
ValueCountFrequency (%)
0 8852
89.0%
1 1097
 
11.0%
ValueCountFrequency (%)
1 1097
 
11.0%
0 8852
89.0%

a5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.539953764
Minimum0
Maximum8
Zeros307
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:18.589264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.804402213
Coefficient of variation (CV)0.2393121059
Kurtosis11.67712528
Mean7.539953764
Median Absolute Deviation (MAD)0
Skewness-3.687082411
Sum75015
Variance3.255867348
MonotonicityNot monotonic
2023-03-22T13:07:18.696778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9339
93.9%
0 307
 
3.1%
1 303
 
3.0%
ValueCountFrequency (%)
0 307
 
3.1%
1 303
 
3.0%
8 9339
93.9%
ValueCountFrequency (%)
8 9339
93.9%
1 303
 
3.0%
0 307
 
3.1%

a6
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.54387376
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:18.824113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.3397727
Coefficient of variation (CV)0.1676306212
Kurtosis29.60231435
Mean85.54387376
Median Absolute Deviation (MAD)0
Skewness-5.61303584
Sum851076
Variance205.6290811
MonotonicityNot monotonic
2023-03-22T13:07:18.950416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
88 9642
96.9%
1 115
 
1.2%
2 93
 
0.9%
3 29
 
0.3%
99 18
 
0.2%
4 16
 
0.2%
6 12
 
0.1%
5 8
 
0.1%
8 6
 
0.1%
20 4
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
1 115
1.2%
2 93
0.9%
3 29
 
0.3%
4 16
 
0.2%
5 8
 
0.1%
ValueCountFrequency (%)
99 18
 
0.2%
88 9642
96.9%
30 1
 
< 0.1%
26 1
 
< 0.1%
20 4
 
< 0.1%

a7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.180219117
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:19.066317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6023899528
Coefficient of variation (CV)0.5104051814
Kurtosis58.61462896
Mean1.180219117
Median Absolute Deviation (MAD)0
Skewness5.944069448
Sum11742
Variance0.3628736552
MonotonicityNot monotonic
2023-03-22T13:07:19.172615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 8806
88.5%
2 613
 
6.2%
3 510
 
5.1%
9 20
 
0.2%
ValueCountFrequency (%)
1 8806
88.5%
2 613
 
6.2%
3 510
 
5.1%
9 20
 
0.2%
ValueCountFrequency (%)
9 20
 
0.2%
3 510
 
5.1%
2 613
 
6.2%
1 8806
88.5%

a8
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7890240225
Minimum0
Maximum1
Zeros2099
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:19.291623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4080218719
Coefficient of variation (CV)0.5171222425
Kurtosis0.007871637036
Mean0.7890240225
Median Absolute Deviation (MAD)0
Skewness-1.416993329
Sum7850
Variance0.1664818479
MonotonicityNot monotonic
2023-03-22T13:07:19.401485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 7850
78.9%
0 2099
 
21.1%
ValueCountFrequency (%)
0 2099
 
21.1%
1 7850
78.9%
ValueCountFrequency (%)
1 7850
78.9%
0 2099
 
21.1%

a8_1
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.191979093
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:19.510968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7313778391
Coefficient of variation (CV)0.6135827744
Kurtosis31.08256755
Mean1.191979093
Median Absolute Deviation (MAD)0
Skewness4.802959479
Sum11859
Variance0.5349135436
MonotonicityNot monotonic
2023-03-22T13:07:19.621232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 9188
92.4%
3 385
 
3.9%
4 302
 
3.0%
2 48
 
0.5%
9 19
 
0.2%
6 6
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
1 9188
92.4%
2 48
 
0.5%
3 385
 
3.9%
4 302
 
3.0%
5 1
 
< 0.1%
ValueCountFrequency (%)
9 19
 
0.2%
6 6
 
0.1%
5 1
 
< 0.1%
4 302
3.0%
3 385
3.9%

a9
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6701176
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:19.756457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q37
95-th percentile10
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.088825014
Coefficient of variation (CV)1.062773618
Kurtosis153.360395
Mean6.6701176
Median Absolute Deviation (MAD)1
Skewness12.01089679
Sum66361
Variance50.25144008
MonotonicityNot monotonic
2023-03-22T13:07:19.891326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 2628
26.4%
6 2452
24.6%
7 1490
15.0%
4 986
 
9.9%
8 951
 
9.6%
9 447
 
4.5%
3 338
 
3.4%
10 255
 
2.6%
11 105
 
1.1%
12 77
 
0.8%
Other values (13) 220
 
2.2%
ValueCountFrequency (%)
1 6
 
0.1%
2 66
 
0.7%
3 338
 
3.4%
4 986
 
9.9%
5 2628
26.4%
ValueCountFrequency (%)
99 54
0.5%
30 1
 
< 0.1%
26 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%

a10
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.159111468
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:20.016541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.858184385
Coefficient of variation (CV)3.176391995
Kurtosis192.9386185
Mean2.159111468
Median Absolute Deviation (MAD)1
Skewness13.86907673
Sum21481
Variance47.03469306
MonotonicityNot monotonic
2023-03-22T13:07:20.131279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 4868
48.9%
2 3576
35.9%
3 1243
 
12.5%
4 186
 
1.9%
99 49
 
0.5%
5 25
 
0.3%
6 2
 
< 0.1%
ValueCountFrequency (%)
1 4868
48.9%
2 3576
35.9%
3 1243
 
12.5%
4 186
 
1.9%
5 25
 
0.3%
ValueCountFrequency (%)
99 49
 
0.5%
6 2
 
< 0.1%
5 25
 
0.3%
4 186
 
1.9%
3 1243
12.5%

a11
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.146346366
Minimum0
Maximum9
Zeros176
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:20.246497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6124068814
Coefficient of variation (CV)0.5342249946
Kurtosis61.79354584
Mean1.146346366
Median Absolute Deviation (MAD)0
Skewness6.026487413
Sum11405
Variance0.3750421884
MonotonicityNot monotonic
2023-03-22T13:07:20.347111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 8717
87.6%
2 642
 
6.5%
3 362
 
3.6%
0 176
 
1.8%
4 30
 
0.3%
9 22
 
0.2%
ValueCountFrequency (%)
0 176
 
1.8%
1 8717
87.6%
2 642
 
6.5%
3 362
 
3.6%
4 30
 
0.3%
ValueCountFrequency (%)
9 22
 
0.2%
4 30
 
0.3%
3 362
 
3.6%
2 642
 
6.5%
1 8717
87.6%

a12
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.776861996
Minimum0
Maximum99
Zeros65
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:20.459105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.512342012
Coefficient of variation (CV)3.665080364
Kurtosis216.8410417
Mean1.776861996
Median Absolute Deviation (MAD)0
Skewness14.71984486
Sum17678
Variance42.41059848
MonotonicityNot monotonic
2023-03-22T13:07:20.579020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 7019
70.5%
2 2304
 
23.2%
3 423
 
4.3%
0 65
 
0.7%
4 64
 
0.6%
99 44
 
0.4%
5 19
 
0.2%
6 6
 
0.1%
7 3
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 65
 
0.7%
1 7019
70.5%
2 2304
 
23.2%
3 423
 
4.3%
4 64
 
0.6%
ValueCountFrequency (%)
99 44
0.4%
10 1
 
< 0.1%
8 1
 
< 0.1%
7 3
 
< 0.1%
6 6
 
0.1%

a13
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05568398834
Minimum0
Maximum1
Zeros9395
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:20.693897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2293219736
Coefficient of variation (CV)4.118274938
Kurtosis13.02459907
Mean0.05568398834
Median Absolute Deviation (MAD)0
Skewness3.875820021
Sum554
Variance0.0525885676
MonotonicityNot monotonic
2023-03-22T13:07:20.803647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9395
94.4%
1 554
 
5.6%
ValueCountFrequency (%)
0 9395
94.4%
1 554
 
5.6%
ValueCountFrequency (%)
1 554
 
5.6%
0 9395
94.4%

a14_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.604181325
Minimum0
Maximum8
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:20.912735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.631738944
Coefficient of variation (CV)0.2145844337
Kurtosis13.18164557
Mean7.604181325
Median Absolute Deviation (MAD)0
Skewness-3.88998559
Sum75654
Variance2.66257198
MonotonicityNot monotonic
2023-03-22T13:07:21.020526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9395
94.4%
1 494
 
5.0%
0 60
 
0.6%
ValueCountFrequency (%)
0 60
 
0.6%
1 494
 
5.0%
8 9395
94.4%
ValueCountFrequency (%)
8 9395
94.4%
1 494
 
5.0%
0 60
 
0.6%

a14_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.560659363
Minimum0
Maximum8
Zeros493
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:21.138442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.810832849
Coefficient of variation (CV)0.2395072655
Kurtosis13.12899091
Mean7.560659363
Median Absolute Deviation (MAD)0
Skewness-3.885977178
Sum75221
Variance3.279115609
MonotonicityNot monotonic
2023-03-22T13:07:21.245924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9395
94.4%
0 493
 
5.0%
1 61
 
0.6%
ValueCountFrequency (%)
0 493
 
5.0%
1 61
 
0.6%
8 9395
94.4%
ValueCountFrequency (%)
8 9395
94.4%
1 61
 
0.6%
0 493
 
5.0%

a14_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.561161926
Minimum0
Maximum8
Zeros488
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:21.363905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.808871966
Coefficient of variation (CV)0.2392320101
Kurtosis13.13689591
Mean7.561161926
Median Absolute Deviation (MAD)0
Skewness-3.886737834
Sum75226
Variance3.272017789
MonotonicityNot monotonic
2023-03-22T13:07:21.471754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9395
94.4%
0 488
 
4.9%
1 66
 
0.7%
ValueCountFrequency (%)
0 488
 
4.9%
1 66
 
0.7%
8 9395
94.4%
ValueCountFrequency (%)
8 9395
94.4%
1 66
 
0.7%
0 488
 
4.9%

a14_4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.559252186
Minimum0
Maximum8
Zeros507
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:21.590139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.816311321
Coefficient of variation (CV)0.2402765877
Kurtosis13.106306
Mean7.559252186
Median Absolute Deviation (MAD)0
Skewness-3.883787204
Sum75207
Variance3.298986815
MonotonicityNot monotonic
2023-03-22T13:07:21.698737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9395
94.4%
0 507
 
5.1%
1 47
 
0.5%
ValueCountFrequency (%)
0 507
 
5.1%
1 47
 
0.5%
8 9395
94.4%
ValueCountFrequency (%)
8 9395
94.4%
1 47
 
0.5%
0 507
 
5.1%

a15
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8071162931
Minimum0
Maximum9
Zeros3759
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:21.817432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.349204004
Coefficient of variation (CV)1.671635197
Kurtosis28.50283767
Mean0.8071162931
Median Absolute Deviation (MAD)0
Skewness5.098779792
Sum8030
Variance1.820351444
MonotonicityNot monotonic
2023-03-22T13:07:21.916905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5960
59.9%
0 3759
37.8%
9 230
 
2.3%
ValueCountFrequency (%)
0 3759
37.8%
1 5960
59.9%
9 230
 
2.3%
ValueCountFrequency (%)
9 230
 
2.3%
1 5960
59.9%
0 3759
37.8%

a16
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.539049151
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:22.023781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.182009625
Coefficient of variation (CV)0.3939321652
Kurtosis-1.449939187
Mean5.539049151
Median Absolute Deviation (MAD)0
Skewness0.09478497377
Sum55108
Variance4.761166004
MonotonicityNot monotonic
2023-03-22T13:07:22.135130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 5173
52.0%
8 3989
40.1%
1 266
 
2.7%
2 213
 
2.1%
3 160
 
1.6%
9 148
 
1.5%
ValueCountFrequency (%)
1 266
 
2.7%
2 213
 
2.1%
3 160
 
1.6%
4 5173
52.0%
8 3989
40.1%
ValueCountFrequency (%)
9 148
 
1.5%
8 3989
40.1%
4 5173
52.0%
3 160
 
1.6%
2 213
 
2.1%

a17
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.27027842
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:22.259305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.03957186
Coefficient of variation (CV)0.6236691797
Kurtosis0.06029146981
Mean3.27027842
Median Absolute Deviation (MAD)2
Skewness0.5938540642
Sum32536
Variance4.15985337
MonotonicityNot monotonic
2023-03-22T13:07:22.368600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 3439
34.6%
1 3175
31.9%
2 1061
 
10.7%
4 948
 
9.5%
3 947
 
9.5%
9 379
 
3.8%
ValueCountFrequency (%)
1 3175
31.9%
2 1061
 
10.7%
3 947
 
9.5%
4 948
 
9.5%
5 3439
34.6%
ValueCountFrequency (%)
9 379
 
3.8%
5 3439
34.6%
4 948
 
9.5%
3 947
 
9.5%
2 1061
 
10.7%

b1
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4227560559
Minimum0
Maximum5
Zeros8292
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:22.485846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.027364242
Coefficient of variation (CV)2.430158545
Kurtosis5.25007444
Mean0.4227560559
Median Absolute Deviation (MAD)0
Skewness2.446316027
Sum4206
Variance1.055477285
MonotonicityNot monotonic
2023-03-22T13:07:22.599740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8292
83.3%
2 753
 
7.6%
3 497
 
5.0%
1 171
 
1.7%
4 142
 
1.4%
5 94
 
0.9%
ValueCountFrequency (%)
0 8292
83.3%
1 171
 
1.7%
2 753
 
7.6%
3 497
 
5.0%
4 142
 
1.4%
ValueCountFrequency (%)
5 94
 
0.9%
4 142
 
1.4%
3 497
5.0%
2 753
7.6%
1 171
 
1.7%

b2
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.32877676
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:22.714448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.30084129
Coefficient of variation (CV)2.107202798
Kurtosis1.401679818
Mean15.32877676
Median Absolute Deviation (MAD)0
Skewness1.841233256
Sum152506
Variance1043.344348
MonotonicityNot monotonic
2023-03-22T13:07:22.829988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 7248
72.9%
88 1486
 
14.9%
2 1002
 
10.1%
98 93
 
0.9%
3 63
 
0.6%
99 31
 
0.3%
4 18
 
0.2%
5 6
 
0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
1 7248
72.9%
2 1002
 
10.1%
3 63
 
0.6%
4 18
 
0.2%
5 6
 
0.1%
ValueCountFrequency (%)
99 31
 
0.3%
98 93
 
0.9%
88 1486
14.9%
6 2
 
< 0.1%
5 6
 
0.1%

b3
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.82128857
Minimum0
Maximum99
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:22.960479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.721815485
Coefficient of variation (CV)0.1119750196
Kurtosis63.11752355
Mean86.82128857
Median Absolute Deviation (MAD)0
Skewness-8.023246297
Sum863785
Variance94.51369633
MonotonicityNot monotonic
2023-03-22T13:07:23.102634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
88 9778
98.3%
5 31
 
0.3%
99 19
 
0.2%
4 14
 
0.1%
8 11
 
0.1%
6 11
 
0.1%
0 10
 
0.1%
13 9
 
0.1%
9 8
 
0.1%
2 6
 
0.1%
Other values (18) 52
 
0.5%
ValueCountFrequency (%)
0 10
0.1%
1 3
 
< 0.1%
2 6
0.1%
3 6
0.1%
4 14
0.1%
ValueCountFrequency (%)
99 19
 
0.2%
88 9778
98.3%
43 1
 
< 0.1%
42 5
 
0.1%
41 3
 
< 0.1%

b4
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.44687908
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:23.253246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.447112291
Coefficient of variation (CV)0.07372604213
Kurtosis103.1460137
Mean87.44687908
Median Absolute Deviation (MAD)0
Skewness-9.952426951
Sum870009
Variance41.5652569
MonotonicityNot monotonic
2023-03-22T13:07:23.402956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
88 9778
98.3%
99 71
 
0.7%
30 9
 
0.1%
41 8
 
0.1%
26 8
 
0.1%
29 6
 
0.1%
31 6
 
0.1%
24 5
 
0.1%
22 5
 
0.1%
20 5
 
0.1%
Other values (24) 48
 
0.5%
ValueCountFrequency (%)
1 4
< 0.1%
2 3
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
99 71
 
0.7%
88 9778
98.3%
49 2
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%

b5
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.38184742
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:23.544624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q188
median88
Q388
95-th percentile88
Maximum99
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.48738263
Coefficient of variation (CV)0.2486880699
Kurtosis9.175198654
Mean82.38184742
Median Absolute Deviation (MAD)0
Skewness-3.334786449
Sum819617
Variance419.732847
MonotonicityNot monotonic
2023-03-22T13:07:23.677186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
88 9196
92.4%
6 101
 
1.0%
8 86
 
0.9%
7 85
 
0.9%
5 80
 
0.8%
13 66
 
0.7%
9 65
 
0.7%
12 51
 
0.5%
10 44
 
0.4%
99 43
 
0.4%
Other values (11) 132
 
1.3%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 20
 
0.2%
4 27
 
0.3%
5 80
0.8%
6 101
1.0%
ValueCountFrequency (%)
99 43
 
0.4%
88 9196
92.4%
42 1
 
< 0.1%
30 1
 
< 0.1%
27 1
 
< 0.1%

b6
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.414313
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:23.830077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q133
median41
Q343
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation22.43282023
Coefficient of variation (CV)0.5167148501
Kurtosis0.5452751309
Mean43.414313
Median Absolute Deviation (MAD)5
Skewness0.857057396
Sum431929
Variance503.2314236
MonotonicityNot monotonic
2023-03-22T13:07:24.003513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 2050
20.6%
88 1486
14.9%
42 1023
 
10.3%
40 656
 
6.6%
43 389
 
3.9%
36 254
 
2.6%
44 243
 
2.4%
34 242
 
2.4%
30 223
 
2.2%
32 211
 
2.1%
Other values (41) 3172
31.9%
ValueCountFrequency (%)
1 60
 
0.6%
2 150
1.5%
3 137
1.4%
4 107
1.1%
5 82
0.8%
ValueCountFrequency (%)
99 112
 
1.1%
88 1486
14.9%
49 13
 
0.1%
48 15
 
0.2%
47 62
 
0.6%

b7
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1889637149
Minimum0
Maximum9
Zeros8613
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:24.144056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8033872436
Coefficient of variation (CV)4.251542386
Kurtosis96.09048119
Mean0.1889637149
Median Absolute Deviation (MAD)0
Skewness9.139067205
Sum1880
Variance0.6454310631
MonotonicityNot monotonic
2023-03-22T13:07:24.243655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8613
86.6%
1 1268
 
12.7%
9 68
 
0.7%
ValueCountFrequency (%)
0 8613
86.6%
1 1268
 
12.7%
9 68
 
0.7%
ValueCountFrequency (%)
9 68
 
0.7%
1 1268
 
12.7%
0 8613
86.6%

b8
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.40888532
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:24.389661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.85865295
Coefficient of variation (CV)0.202120588
Kurtosis9.376349656
Mean83.40888532
Median Absolute Deviation (MAD)0
Skewness-3.172580278
Sum829835
Variance284.2141792
MonotonicityNot monotonic
2023-03-22T13:07:24.558767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 8681
87.3%
99 382
 
3.8%
41 134
 
1.3%
42 65
 
0.7%
40 61
 
0.6%
43 50
 
0.5%
3 32
 
0.3%
44 31
 
0.3%
46 31
 
0.3%
2 25
 
0.3%
Other values (41) 457
 
4.6%
ValueCountFrequency (%)
1 19
0.2%
2 25
0.3%
3 32
0.3%
4 18
0.2%
5 23
0.2%
ValueCountFrequency (%)
99 382
 
3.8%
88 8681
87.3%
49 20
 
0.2%
48 5
 
0.1%
47 19
 
0.2%

b9
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.020806111
Minimum0
Maximum9
Zeros113
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:24.694962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5179423595
Coefficient of variation (CV)0.5073856376
Kurtosis223.7896889
Mean1.020806111
Median Absolute Deviation (MAD)0
Skewness14.61725474
Sum10156
Variance0.2682642878
MonotonicityNot monotonic
2023-03-22T13:07:24.795014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9796
98.5%
0 113
 
1.1%
9 40
 
0.4%
ValueCountFrequency (%)
0 113
 
1.1%
1 9796
98.5%
9 40
 
0.4%
ValueCountFrequency (%)
9 40
 
0.4%
1 9796
98.5%
0 113
 
1.1%

b10
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.407779676
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:24.905616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.78965385
Coefficient of variation (CV)4.481163272
Kurtosis59.2345871
Mean2.407779676
Median Absolute Deviation (MAD)0
Skewness7.821518249
Sum23955
Variance116.4166303
MonotonicityNot monotonic
2023-03-22T13:07:25.019812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9327
93.7%
2 436
 
4.4%
88 153
 
1.5%
3 30
 
0.3%
99 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
1 9327
93.7%
2 436
 
4.4%
3 30
 
0.3%
4 1
 
< 0.1%
88 153
 
1.5%
ValueCountFrequency (%)
99 2
 
< 0.1%
88 153
 
1.5%
4 1
 
< 0.1%
3 30
 
0.3%
2 436
4.4%

b11
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7215800583
Minimum0
Maximum9
Zeros3130
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:25.133937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7256831814
Coefficient of variation (CV)1.005686303
Kurtosis73.97658348
Mean0.7215800583
Median Absolute Deviation (MAD)0
Skewness6.445916368
Sum7179
Variance0.5266160798
MonotonicityNot monotonic
2023-03-22T13:07:25.233768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6774
68.1%
0 3130
31.5%
9 45
 
0.5%
ValueCountFrequency (%)
0 3130
31.5%
1 6774
68.1%
9 45
 
0.5%
ValueCountFrequency (%)
9 45
 
0.5%
1 6774
68.1%
0 3130
31.5%

b12
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.79053171
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:25.343060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation40.56187531
Coefficient of variation (CV)1.408861626
Kurtosis-1.399227569
Mean28.79053171
Median Absolute Deviation (MAD)0
Skewness0.7752088327
Sum286437
Variance1645.265729
MonotonicityNot monotonic
2023-03-22T13:07:25.461493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6706
67.4%
88 3175
31.9%
2 65
 
0.7%
99 2
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
1 6706
67.4%
2 65
 
0.7%
3 1
 
< 0.1%
88 3175
31.9%
99 2
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
88 3175
31.9%
3 1
 
< 0.1%
2 65
 
0.7%
1 6706
67.4%

b13
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09015981506
Minimum0
Maximum9
Zeros9404
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:26.162533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6328469324
Coefficient of variation (CV)7.019168484
Kurtosis171.1004417
Mean0.09015981506
Median Absolute Deviation (MAD)0
Skewness12.49271698
Sum897
Variance0.4004952398
MonotonicityNot monotonic
2023-03-22T13:07:26.263562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9404
94.5%
1 501
 
5.0%
9 44
 
0.4%
ValueCountFrequency (%)
0 9404
94.5%
1 501
 
5.0%
9 44
 
0.4%
ValueCountFrequency (%)
9 44
 
0.4%
1 501
 
5.0%
0 9404
94.5%

b14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.61966027
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:26.372512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q188
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.02309242
Coefficient of variation (CV)0.2274954522
Kurtosis14.91955707
Mean83.61966027
Median Absolute Deviation (MAD)0
Skewness-4.112969571
Sum831932
Variance361.8780453
MonotonicityNot monotonic
2023-03-22T13:07:26.470644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
88 9448
95.0%
1 494
 
5.0%
2 7
 
0.1%
ValueCountFrequency (%)
1 494
 
5.0%
2 7
 
0.1%
88 9448
95.0%
ValueCountFrequency (%)
88 9448
95.0%
2 7
 
0.1%
1 494
 
5.0%

b15
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0511609207
Minimum0
Maximum9
Zeros9792
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:26.576835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6058088244
Coefficient of variation (CV)11.84124164
Kurtosis207.786326
Mean0.0511609207
Median Absolute Deviation (MAD)0
Skewness14.30233628
Sum509
Variance0.3670043317
MonotonicityNot monotonic
2023-03-22T13:07:26.676782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9792
98.4%
1 113
 
1.1%
9 44
 
0.4%
ValueCountFrequency (%)
0 9792
98.4%
1 113
 
1.1%
9 44
 
0.4%
ValueCountFrequency (%)
9 44
 
0.4%
1 113
 
1.1%
0 9792
98.4%

b16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.03156096
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:26.784543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.140099802
Coefficient of variation (CV)0.1050205202
Kurtosis84.63461138
Mean87.03156096
Median Absolute Deviation (MAD)0
Skewness-9.305059214
Sum865877
Variance83.54142439
MonotonicityNot monotonic
2023-03-22T13:07:26.895214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
88 9836
98.9%
1 111
 
1.1%
99 2
 
< 0.1%
ValueCountFrequency (%)
1 111
 
1.1%
88 9836
98.9%
99 2
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
88 9836
98.9%
1 111
 
1.1%

b17
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5854859785
Minimum0
Maximum9
Zeros4500
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:27.007284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7634693325
Coefficient of variation (CV)1.303992513
Kurtosis66.95760386
Mean0.5854859785
Median Absolute Deviation (MAD)0
Skewness6.209348728
Sum5825
Variance0.5828854217
MonotonicityNot monotonic
2023-03-22T13:07:27.107010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5402
54.3%
0 4500
45.2%
9 47
 
0.5%
ValueCountFrequency (%)
0 4500
45.2%
1 5402
54.3%
9 47
 
0.5%
ValueCountFrequency (%)
9 47
 
0.5%
1 5402
54.3%
0 4500
45.2%

b18
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.79435119
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:27.216094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation43.34471477
Coefficient of variation (CV)1.062517567
Kurtosis-1.970919284
Mean40.79435119
Median Absolute Deviation (MAD)0
Skewness0.1713792104
Sum405863
Variance1878.764299
MonotonicityNot monotonic
2023-03-22T13:07:27.329258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5369
54.0%
88 4547
45.7%
2 29
 
0.3%
99 3
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
1 5369
54.0%
2 29
 
0.3%
3 1
 
< 0.1%
88 4547
45.7%
99 3
 
< 0.1%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 4547
45.7%
3 1
 
< 0.1%
2 29
 
0.3%
1 5369
54.0%

b19
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9949743693
Minimum0
Maximum9
Zeros402
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:27.441855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5687326678
Coefficient of variation (CV)0.5716053452
Kurtosis171.0767492
Mean0.9949743693
Median Absolute Deviation (MAD)0
Skewness12.11940058
Sum9899
Variance0.3234568475
MonotonicityNot monotonic
2023-03-22T13:07:27.541621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9503
95.5%
0 402
 
4.0%
9 44
 
0.4%
ValueCountFrequency (%)
0 402
 
4.0%
1 9503
95.5%
9 44
 
0.4%
ValueCountFrequency (%)
9 44
 
0.4%
1 9503
95.5%
0 402
 
4.0%

b20
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.360538748
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:27.654399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.99706714
Coefficient of variation (CV)3.357324327
Kurtosis17.16632999
Mean5.360538748
Median Absolute Deviation (MAD)0
Skewness4.373377902
Sum53332
Variance323.8944258
MonotonicityNot monotonic
2023-03-22T13:07:27.772328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 6168
62.0%
2 2567
25.8%
3 619
 
6.2%
88 446
 
4.5%
4 110
 
1.1%
5 31
 
0.3%
6 3
 
< 0.1%
99 3
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 6168
62.0%
2 2567
25.8%
3 619
 
6.2%
4 110
 
1.1%
5 31
 
0.3%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 446
4.5%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%

b21
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2660568901
Minimum0
Maximum9
Zeros7710
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:27.885839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7512720356
Coefficient of variation (CV)2.823727043
Kurtosis90.91376008
Mean0.2660568901
Median Absolute Deviation (MAD)0
Skewness8.227456327
Sum2647
Variance0.5644096715
MonotonicityNot monotonic
2023-03-22T13:07:27.985465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7710
77.5%
1 2188
 
22.0%
9 51
 
0.5%
ValueCountFrequency (%)
0 7710
77.5%
1 2188
 
22.0%
9 51
 
0.5%
ValueCountFrequency (%)
9 51
 
0.5%
1 2188
 
22.0%
0 7710
77.5%

b22
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.92220324
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:28.096555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.98617797
Coefficient of variation (CV)0.5221275043
Kurtosis-0.1626460562
Mean68.92220324
Median Absolute Deviation (MAD)0
Skewness-1.355360807
Sum685707
Variance1295.005005
MonotonicityNot monotonic
2023-03-22T13:07:28.211205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88 7761
78.0%
1 2060
 
20.7%
2 96
 
1.0%
3 25
 
0.3%
99 4
 
< 0.1%
7 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
1 2060
20.7%
2 96
 
1.0%
3 25
 
0.3%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
88 7761
78.0%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%

b23
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3326967534
Minimum0
Maximum9
Zeros6975
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:28.323546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7252672889
Coefficient of variation (CV)2.179965032
Kurtosis83.40415662
Mean0.3326967534
Median Absolute Deviation (MAD)0
Skewness7.368983072
Sum3310
Variance0.5260126403
MonotonicityNot monotonic
2023-03-22T13:07:28.423089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6975
70.1%
1 2932
29.5%
9 42
 
0.4%
ValueCountFrequency (%)
0 6975
70.1%
1 2932
29.5%
9 42
 
0.4%
ValueCountFrequency (%)
9 42
 
0.4%
1 2932
29.5%
0 6975
70.1%

b24
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.39380842
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:28.532092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation39.65162561
Coefficient of variation (CV)0.6355057755
Kurtosis-1.186015016
Mean62.39380842
Median Absolute Deviation (MAD)0
Skewness-0.902258218
Sum620756
Variance1572.251413
MonotonicityNot monotonic
2023-03-22T13:07:28.649200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
88 7017
70.5%
1 2898
29.1%
2 28
 
0.3%
99 3
 
< 0.1%
3 3
 
< 0.1%
ValueCountFrequency (%)
1 2898
29.1%
2 28
 
0.3%
3 3
 
< 0.1%
88 7017
70.5%
99 3
 
< 0.1%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 7017
70.5%
3 3
 
< 0.1%
2 28
 
0.3%
1 2898
29.1%

b25
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.887928435
Minimum0
Maximum9
Zeros1435
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:28.766562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6237202584
Coefficient of variation (CV)0.7024442892
Kurtosis112.7136266
Mean0.887928435
Median Absolute Deviation (MAD)0
Skewness8.436520396
Sum8834
Variance0.3890269607
MonotonicityNot monotonic
2023-03-22T13:07:28.866261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 8474
85.2%
0 1435
 
14.4%
9 40
 
0.4%
ValueCountFrequency (%)
0 1435
 
14.4%
1 8474
85.2%
9 40
 
0.4%
ValueCountFrequency (%)
9 40
 
0.4%
1 8474
85.2%
0 1435
 
14.4%

b26
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.65433712
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:28.980484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation30.72462596
Coefficient of variation (CV)2.096623389
Kurtosis1.88404113
Mean14.65433712
Median Absolute Deviation (MAD)1
Skewness1.968681542
Sum145796
Variance944.0026403
MonotonicityNot monotonic
2023-03-22T13:07:29.100570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4098
41.2%
2 2720
27.3%
88 1475
 
14.8%
3 1081
 
10.9%
4 408
 
4.1%
5 110
 
1.1%
6 30
 
0.3%
7 14
 
0.1%
99 7
 
0.1%
8 4
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 4098
41.2%
2 2720
27.3%
3 1081
 
10.9%
4 408
 
4.1%
5 110
 
1.1%
ValueCountFrequency (%)
99 7
 
0.1%
88 1475
14.8%
18 1
 
< 0.1%
12 1
 
< 0.1%
8 4
 
< 0.1%

b27
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1800180923
Minimum0
Maximum9
Zeros8502
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:29.214911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6773808031
Coefficient of variation (CV)3.76284847
Kurtosis121.62455
Mean0.1800180923
Median Absolute Deviation (MAD)0
Skewness9.77822269
Sum1791
Variance0.4588447524
MonotonicityNot monotonic
2023-03-22T13:07:29.314758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8502
85.5%
1 1404
 
14.1%
9 43
 
0.4%
ValueCountFrequency (%)
0 8502
85.5%
1 1404
 
14.1%
9 43
 
0.4%
ValueCountFrequency (%)
9 43
 
0.4%
1 1404
 
14.1%
0 8502
85.5%

b28
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.7705297
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:29.425857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.17291196
Coefficient of variation (CV)0.3982143463
Kurtosis2.254016955
Mean75.7705297
Median Absolute Deviation (MAD)0
Skewness-2.062281535
Sum753841
Variance910.4046159
MonotonicityNot monotonic
2023-03-22T13:07:29.529353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
88 8545
85.9%
1 1050
 
10.6%
2 259
 
2.6%
3 75
 
0.8%
4 14
 
0.1%
5 4
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
1 1050
10.6%
2 259
 
2.6%
3 75
 
0.8%
4 14
 
0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
88 8545
85.9%
6 2
 
< 0.1%
5 4
 
< 0.1%
4 14
 
0.1%
3 75
 
0.8%

b29
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2782189165
Minimum0
Maximum9
Zeros7573
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:29.637694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7453036206
Coefficient of variation (CV)2.678838772
Kurtosis89.64914633
Mean0.2782189165
Median Absolute Deviation (MAD)0
Skewness8.068101161
Sum2768
Variance0.5554774869
MonotonicityNot monotonic
2023-03-22T13:07:29.738148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7573
76.1%
1 2327
 
23.4%
9 49
 
0.5%
ValueCountFrequency (%)
0 7573
76.1%
1 2327
 
23.4%
9 49
 
0.5%
ValueCountFrequency (%)
9 49
 
0.5%
1 2327
 
23.4%
0 7573
76.1%

b30
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.72158006
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:29.850441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.74232805
Coefficient of variation (CV)0.5425497754
Kurtosis-0.4132358728
Mean67.72158006
Median Absolute Deviation (MAD)0
Skewness-1.259524685
Sum673762
Variance1349.998671
MonotonicityNot monotonic
2023-03-22T13:07:29.965997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88 7622
76.6%
1 2028
 
20.4%
2 218
 
2.2%
3 57
 
0.6%
4 13
 
0.1%
5 6
 
0.1%
99 3
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
1 2028
20.4%
2 218
 
2.2%
3 57
 
0.6%
4 13
 
0.1%
5 6
 
0.1%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 7622
76.6%
6 2
 
< 0.1%
5 6
 
0.1%
4 13
 
0.1%

b31
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.351191074
Minimum0
Maximum9
Zeros131
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:30.079339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.988466948
Coefficient of variation (CV)0.4705364573
Kurtosis-0.3922799377
Mean6.351191074
Median Absolute Deviation (MAD)0
Skewness-1.264053499
Sum63188
Variance8.930934699
MonotonicityNot monotonic
2023-03-22T13:07:30.178991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7622
76.6%
1 2194
 
22.1%
0 131
 
1.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 131
 
1.3%
1 2194
 
22.1%
8 7622
76.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 7622
76.6%
1 2194
 
22.1%
0 131
 
1.3%

b32
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3140014072
Minimum0
Maximum9
Zeros7241
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:30.285247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.769274485
Coefficient of variation (CV)2.449907763
Kurtosis82.20083136
Mean0.3140014072
Median Absolute Deviation (MAD)0
Skewness7.665959561
Sum3124
Variance0.5917832332
MonotonicityNot monotonic
2023-03-22T13:07:30.386034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7241
72.8%
1 2656
 
26.7%
9 52
 
0.5%
ValueCountFrequency (%)
0 7241
72.8%
1 2656
 
26.7%
9 52
 
0.5%
ValueCountFrequency (%)
9 52
 
0.5%
1 2656
 
26.7%
0 7241
72.8%

b33
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1478540557
Minimum0
Maximum9
Zeros8814
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:30.494303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.655733634
Coefficient of variation (CV)4.435006067
Kurtosis137.6156379
Mean0.1478540557
Median Absolute Deviation (MAD)0
Skewness10.61978591
Sum1471
Variance0.4299865987
MonotonicityNot monotonic
2023-03-22T13:07:30.594741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8814
88.6%
1 1093
 
11.0%
9 42
 
0.4%
ValueCountFrequency (%)
0 8814
88.6%
1 1093
 
11.0%
9 42
 
0.4%
ValueCountFrequency (%)
9 42
 
0.4%
1 1093
 
11.0%
0 8814
88.6%

b34
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.49261232
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:30.705043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.13505647
Coefficient of variation (CV)0.3457020433
Kurtosis4.261265798
Mean78.49261232
Median Absolute Deviation (MAD)0
Skewness-2.501875679
Sum780923
Variance736.3112894
MonotonicityNot monotonic
2023-03-22T13:07:30.817986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
88 8856
89.0%
1 990
 
10.0%
2 89
 
0.9%
3 9
 
0.1%
99 4
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
1 990
 
10.0%
2 89
 
0.9%
3 9
 
0.1%
4 1
 
< 0.1%
88 8856
89.0%
ValueCountFrequency (%)
99 4
 
< 0.1%
88 8856
89.0%
4 1
 
< 0.1%
3 9
 
0.1%
2 89
 
0.9%

b35
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3642577143
Minimum0
Maximum9
Zeros6677
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:30.929677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7416557701
Coefficient of variation (CV)2.036074298
Kurtosis78.56542858
Mean0.3642577143
Median Absolute Deviation (MAD)0
Skewness7.10875426
Sum3624
Variance0.5500532814
MonotonicityNot monotonic
2023-03-22T13:07:31.030282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6677
67.1%
1 3228
32.4%
9 44
 
0.4%
ValueCountFrequency (%)
0 6677
67.1%
1 3228
32.4%
9 44
 
0.4%
ValueCountFrequency (%)
9 44
 
0.4%
1 3228
32.4%
0 6677
67.1%

b36
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.83164137
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:31.140750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation40.65997188
Coefficient of variation (CV)0.6795730645
Kurtosis-1.436698557
Mean59.83164137
Median Absolute Deviation (MAD)0
Skewness-0.7506012583
Sum595265
Variance1653.233313
MonotonicityNot monotonic
2023-03-22T13:07:31.261212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
88 6721
67.6%
1 2793
28.1%
2 381
 
3.8%
3 49
 
0.5%
4 4
 
< 0.1%
99 1
 
< 0.1%
ValueCountFrequency (%)
1 2793
28.1%
2 381
 
3.8%
3 49
 
0.5%
4 4
 
< 0.1%
88 6721
67.6%
ValueCountFrequency (%)
99 1
 
< 0.1%
88 6721
67.6%
4 4
 
< 0.1%
3 49
 
0.5%
2 381
 
3.8%

b37
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.98663182
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:31.407642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q123
median88
Q388
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)65

Descriptive statistics

Standard deviation32.82712517
Coefficient of variation (CV)0.4974814483
Kurtosis-1.335266926
Mean65.98663182
Median Absolute Deviation (MAD)0
Skewness-0.7430139245
Sum656501
Variance1077.620147
MonotonicityNot monotonic
2023-03-22T13:07:31.569449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
88 6091
61.2%
99 549
 
5.5%
19 445
 
4.5%
18 364
 
3.7%
17 356
 
3.6%
20 315
 
3.2%
21 298
 
3.0%
22 237
 
2.4%
23 217
 
2.2%
1 172
 
1.7%
Other values (30) 905
 
9.1%
ValueCountFrequency (%)
1 172
1.7%
2 70
0.7%
3 7
 
0.1%
4 3
 
< 0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
99 549
 
5.5%
88 6091
61.2%
44 3
 
< 0.1%
42 1
 
< 0.1%
41 1
 
< 0.1%

b38
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.109458237
Minimum0
Maximum9
Zeros9220
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:31.706026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6505232792
Coefficient of variation (CV)5.943118553
Kurtosis155.148041
Mean0.109458237
Median Absolute Deviation (MAD)0
Skewness11.72143848
Sum1089
Variance0.4231805368
MonotonicityNot monotonic
2023-03-22T13:07:31.806919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9220
92.7%
1 684
 
6.9%
9 45
 
0.5%
ValueCountFrequency (%)
0 9220
92.7%
1 684
 
6.9%
9 45
 
0.5%
ValueCountFrequency (%)
9 45
 
0.5%
1 684
 
6.9%
0 9220
92.7%

b39
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.44909036
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:31.919569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.33770122
Coefficient of variation (CV)0.2587985037
Kurtosis10.5467574
Mean82.44909036
Median Absolute Deviation (MAD)0
Skewness-3.538390771
Sum820286
Variance455.2974934
MonotonicityNot monotonic
2023-03-22T13:07:32.035145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88 9265
93.1%
1 519
 
5.2%
2 96
 
1.0%
99 42
 
0.4%
3 20
 
0.2%
4 5
 
0.1%
5 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
1 519
5.2%
2 96
 
1.0%
3 20
 
0.2%
4 5
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
99 42
 
0.4%
88 9265
93.1%
12 1
 
< 0.1%
5 1
 
< 0.1%
4 5
 
0.1%

c1
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.733038496
Minimum0
Maximum99
Zeros58
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:32.158746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile6
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.43641088
Coefficient of variation (CV)2.795687988
Kurtosis77.31952625
Mean3.733038496
Median Absolute Deviation (MAD)1
Skewness8.794910412
Sum37140
Variance108.9186721
MonotonicityNot monotonic
2023-03-22T13:07:32.286946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 3532
35.5%
1 2250
22.6%
3 1842
18.5%
4 1091
 
11.0%
5 566
 
5.7%
6 221
 
2.2%
99 115
 
1.2%
7 113
 
1.1%
8 65
 
0.7%
0 58
 
0.6%
Other values (8) 96
 
1.0%
ValueCountFrequency (%)
0 58
 
0.6%
1 2250
22.6%
2 3532
35.5%
3 1842
18.5%
4 1091
 
11.0%
ValueCountFrequency (%)
99 115
1.2%
20 2
 
< 0.1%
18 2
 
< 0.1%
15 13
 
0.1%
13 2
 
< 0.1%

c2
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.97748517
Minimum0
Maximum99
Zeros103
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:32.424847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median7
Q310
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation23.32388291
Coefficient of variation (CV)1.668675203
Kurtosis9.162478674
Mean13.97748517
Median Absolute Deviation (MAD)2
Skewness3.302380261
Sum139062
Variance544.0035139
MonotonicityNot monotonic
2023-03-22T13:07:32.573163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7 1338
13.4%
6 1297
13.0%
5 1181
11.9%
8 1148
11.5%
9 747
7.5%
99 684
6.9%
13 623
6.3%
4 593
6.0%
10 593
6.0%
12 505
 
5.1%
Other values (20) 1240
12.5%
ValueCountFrequency (%)
0 103
 
1.0%
1 27
 
0.3%
2 142
 
1.4%
3 297
3.0%
4 593
6.0%
ValueCountFrequency (%)
99 684
6.9%
48 1
 
< 0.1%
47 2
 
< 0.1%
46 2
 
< 0.1%
42 1
 
< 0.1%

c3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2221328777
Minimum0
Maximum9
Zeros8163
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:32.702940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7459235377
Coefficient of variation (CV)3.358006007
Kurtosis99.44226856
Mean0.2221328777
Median Absolute Deviation (MAD)0
Skewness8.859756808
Sum2210
Variance0.556401924
MonotonicityNot monotonic
2023-03-22T13:07:32.804245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8163
82.0%
1 1733
 
17.4%
9 53
 
0.5%
ValueCountFrequency (%)
0 8163
82.0%
1 1733
 
17.4%
9 53
 
0.5%
ValueCountFrequency (%)
9 53
 
0.5%
1 1733
 
17.4%
0 8163
82.0%

c4
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.0669414
Minimum0
Maximum99
Zeros113
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:32.921793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.80037284
Coefficient of variation (CV)0.4293463756
Kurtosis1.301721084
Mean74.0669414
Median Absolute Deviation (MAD)0
Skewness-1.812831631
Sum736892
Variance1011.263713
MonotonicityNot monotonic
2023-03-22T13:07:33.047954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
88 8216
82.6%
1 505
 
5.1%
2 486
 
4.9%
3 218
 
2.2%
4 150
 
1.5%
0 113
 
1.1%
99 102
 
1.0%
5 72
 
0.7%
6 37
 
0.4%
7 22
 
0.2%
Other values (6) 28
 
0.3%
ValueCountFrequency (%)
0 113
 
1.1%
1 505
5.1%
2 486
4.9%
3 218
2.2%
4 150
 
1.5%
ValueCountFrequency (%)
99 102
 
1.0%
88 8216
82.6%
25 1
 
< 0.1%
14 3
 
< 0.1%
13 6
 
0.1%

c5
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.812342949
Minimum0
Maximum99
Zeros6874
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:33.181229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation21.41492891
Coefficient of variation (CV)3.684388395
Kurtosis14.85723826
Mean5.812342949
Median Absolute Deviation (MAD)0
Skewness4.087242317
Sum57827
Variance458.5991802
MonotonicityNot monotonic
2023-03-22T13:07:33.312129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6874
69.1%
2 654
 
6.6%
99 495
 
5.0%
1 482
 
4.8%
3 444
 
4.5%
4 357
 
3.6%
5 286
 
2.9%
6 134
 
1.3%
7 89
 
0.9%
8 48
 
0.5%
Other values (10) 86
 
0.9%
ValueCountFrequency (%)
0 6874
69.1%
1 482
 
4.8%
2 654
 
6.6%
3 444
 
4.5%
4 357
 
3.6%
ValueCountFrequency (%)
99 495
5.0%
42 2
 
< 0.1%
17 2
 
< 0.1%
16 1
 
< 0.1%
15 4
 
< 0.1%

c6
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.732234395
Minimum0
Maximum99
Zeros357
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:33.441710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.73363393
Coefficient of variation (CV)2.29346823
Kurtosis22.26624551
Mean7.732234395
Median Absolute Deviation (MAD)1
Skewness4.894103494
Sum76928
Variance314.4817725
MonotonicityNot monotonic
2023-03-22T13:07:33.575238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5 2457
24.7%
4 2072
20.8%
3 1750
17.6%
6 1091
11.0%
2 808
 
8.1%
7 487
 
4.9%
99 358
 
3.6%
0 357
 
3.6%
8 194
 
1.9%
1 143
 
1.4%
Other values (7) 232
 
2.3%
ValueCountFrequency (%)
0 357
 
3.6%
1 143
 
1.4%
2 808
 
8.1%
3 1750
17.6%
4 2072
20.8%
ValueCountFrequency (%)
99 358
3.6%
15 1
 
< 0.1%
14 6
 
0.1%
13 20
 
0.2%
12 28
 
0.3%

c7
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.95346266
Minimum0
Maximum99
Zeros9147
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:33.709978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.44386452
Coefficient of variation (CV)6.370157349
Kurtosis55.79267818
Mean1.95346266
Median Absolute Deviation (MAD)0
Skewness7.539125774
Sum19435
Variance154.8497641
MonotonicityNot monotonic
2023-03-22T13:07:33.837285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9147
91.9%
99 158
 
1.6%
5 113
 
1.1%
3 76
 
0.8%
6 73
 
0.7%
4 71
 
0.7%
2 57
 
0.6%
7 49
 
0.5%
1 40
 
0.4%
13 33
 
0.3%
Other values (7) 132
 
1.3%
ValueCountFrequency (%)
0 9147
91.9%
1 40
 
0.4%
2 57
 
0.6%
3 76
 
0.8%
4 71
 
0.7%
ValueCountFrequency (%)
99 158
1.6%
15 3
 
< 0.1%
14 11
 
0.1%
13 33
 
0.3%
12 19
 
0.2%

c8
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.05307066
Minimum0
Maximum99
Zeros6934
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:33.965945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation20.24294041
Coefficient of variation (CV)4.006067156
Kurtosis17.48756995
Mean5.05307066
Median Absolute Deviation (MAD)0
Skewness4.400928947
Sum50273
Variance409.7766364
MonotonicityNot monotonic
2023-03-22T13:07:34.093631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6934
69.7%
1 841
 
8.5%
2 673
 
6.8%
99 439
 
4.4%
3 416
 
4.2%
4 260
 
2.6%
5 219
 
2.2%
6 80
 
0.8%
7 44
 
0.4%
8 17
 
0.2%
Other values (7) 26
 
0.3%
ValueCountFrequency (%)
0 6934
69.7%
1 841
 
8.5%
2 673
 
6.8%
3 416
 
4.2%
4 260
 
2.6%
ValueCountFrequency (%)
99 439
4.4%
41 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%

c9
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.81023218
Minimum0
Maximum99
Zeros246
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:34.225558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)83

Descriptive statistics

Standard deviation40.53495282
Coefficient of variation (CV)0.6892500049
Kurtosis-1.600448828
Mean58.81023218
Median Absolute Deviation (MAD)0
Skewness-0.6168538159
Sum585103
Variance1643.0824
MonotonicityNot monotonic
2023-03-22T13:07:34.363782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
88 6091
61.2%
4 601
 
6.0%
2 591
 
5.9%
5 586
 
5.9%
3 540
 
5.4%
99 358
 
3.6%
6 296
 
3.0%
1 256
 
2.6%
0 246
 
2.5%
7 162
 
1.6%
Other values (12) 222
 
2.2%
ValueCountFrequency (%)
0 246
2.5%
1 256
2.6%
2 591
5.9%
3 540
5.4%
4 601
6.0%
ValueCountFrequency (%)
99 358
 
3.6%
88 6091
61.2%
48 1
 
< 0.1%
24 1
 
< 0.1%
17 2
 
< 0.1%

c10
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.878178711
Minimum0
Maximum99
Zeros3543
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:34.500443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.45568331
Coefficient of variation (CV)3.578319767
Kurtosis24.81100442
Mean4.878178711
Median Absolute Deviation (MAD)1
Skewness5.146532522
Sum48533
Variance304.7008798
MonotonicityNot monotonic
2023-03-22T13:07:34.628769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3543
35.6%
1 1728
17.4%
2 1697
17.1%
3 1080
 
10.9%
4 735
 
7.4%
5 529
 
5.3%
99 327
 
3.3%
6 179
 
1.8%
7 66
 
0.7%
8 30
 
0.3%
Other values (8) 35
 
0.4%
ValueCountFrequency (%)
0 3543
35.6%
1 1728
17.4%
2 1697
17.1%
3 1080
 
10.9%
4 735
 
7.4%
ValueCountFrequency (%)
99 327
3.3%
49 1
 
< 0.1%
41 1
 
< 0.1%
30 1
 
< 0.1%
13 3
 
< 0.1%

c11
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.233490803
Minimum0
Maximum99
Zeros7805
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:34.759265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.66403656
Coefficient of variation (CV)4.408663542
Kurtosis21.67037588
Mean4.233490803
Median Absolute Deviation (MAD)0
Skewness4.847594008
Sum42119
Variance348.3462606
MonotonicityNot monotonic
2023-03-22T13:07:34.890017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 7805
78.5%
2 497
 
5.0%
1 399
 
4.0%
99 369
 
3.7%
3 285
 
2.9%
4 240
 
2.4%
5 153
 
1.5%
6 87
 
0.9%
7 34
 
0.3%
8 27
 
0.3%
Other values (10) 53
 
0.5%
ValueCountFrequency (%)
0 7805
78.5%
1 399
 
4.0%
2 497
 
5.0%
3 285
 
2.9%
4 240
 
2.4%
ValueCountFrequency (%)
99 369
3.7%
19 1
 
< 0.1%
17 1
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%

c12
Real number (ℝ)

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.91677556
Minimum0
Maximum99
Zeros4738
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:35.025379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation26.87403993
Coefficient of variation (CV)2.461719561
Kurtosis6.660776965
Mean10.91677556
Median Absolute Deviation (MAD)1
Skewness2.903525299
Sum108611
Variance722.2140219
MonotonicityNot monotonic
2023-03-22T13:07:35.166836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4738
47.6%
99 831
 
8.4%
5 589
 
5.9%
3 518
 
5.2%
4 488
 
4.9%
2 462
 
4.6%
6 420
 
4.2%
1 367
 
3.7%
7 301
 
3.0%
13 247
 
2.5%
Other values (15) 988
 
9.9%
ValueCountFrequency (%)
0 4738
47.6%
1 367
 
3.7%
2 462
 
4.6%
3 518
 
5.2%
4 488
 
4.9%
ValueCountFrequency (%)
99 831
8.4%
41 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%

c13
Real number (ℝ)

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.60830234
Minimum0
Maximum99
Zeros757
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:35.309269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median88
Q388
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)77

Descriptive statistics

Standard deviation38.72549169
Coefficient of variation (CV)0.6185360446
Kurtosis-1.361779963
Mean62.60830234
Median Absolute Deviation (MAD)0
Skewness-0.7673953399
Sum622890
Variance1499.663707
MonotonicityNot monotonic
2023-03-22T13:07:35.449922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
88 6091
61.2%
0 757
 
7.6%
99 667
 
6.7%
6 272
 
2.7%
7 256
 
2.6%
5 240
 
2.4%
13 239
 
2.4%
8 212
 
2.1%
9 206
 
2.1%
4 165
 
1.7%
Other values (14) 844
 
8.5%
ValueCountFrequency (%)
0 757
7.6%
1 6
 
0.1%
2 52
 
0.5%
3 92
 
0.9%
4 165
 
1.7%
ValueCountFrequency (%)
99 667
 
6.7%
88 6091
61.2%
33 1
 
< 0.1%
28 1
 
< 0.1%
25 1
 
< 0.1%

c14
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.41984119
Minimum0
Maximum99
Zeros9498
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:35.603285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.00167764
Coefficient of variation (CV)5.786196918
Kurtosis40.71401325
Mean2.41984119
Median Absolute Deviation (MAD)0
Skewness6.408093451
Sum24075
Variance196.0469766
MonotonicityNot monotonic
2023-03-22T13:07:35.762347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 9498
95.5%
99 191
 
1.9%
1 22
 
0.2%
24 20
 
0.2%
23 19
 
0.2%
25 14
 
0.1%
27 14
 
0.1%
2 13
 
0.1%
29 12
 
0.1%
26 10
 
0.1%
Other values (30) 136
 
1.4%
ValueCountFrequency (%)
0 9498
95.5%
1 22
 
0.2%
2 13
 
0.1%
3 8
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
99 191
1.9%
41 4
 
< 0.1%
40 5
 
0.1%
39 1
 
< 0.1%
37 3
 
< 0.1%

c15
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.836767514
Minimum0
Maximum99
Zeros8914
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:35.915156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.7368313
Coefficient of variation (CV)5.194937981
Kurtosis37.15296254
Mean2.836767514
Median Absolute Deviation (MAD)0
Skewness6.166289412
Sum28223
Variance217.1741969
MonotonicityNot monotonic
2023-03-22T13:07:36.058856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 8914
89.6%
99 220
 
2.2%
5 102
 
1.0%
2 97
 
1.0%
4 97
 
1.0%
6 69
 
0.7%
3 64
 
0.6%
1 59
 
0.6%
7 36
 
0.4%
15 36
 
0.4%
Other values (20) 255
 
2.6%
ValueCountFrequency (%)
0 8914
89.6%
1 59
 
0.6%
2 97
 
1.0%
3 64
 
0.6%
4 97
 
1.0%
ValueCountFrequency (%)
99 220
2.2%
30 1
 
< 0.1%
27 2
 
< 0.1%
26 4
 
< 0.1%
25 4
 
< 0.1%

c16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2542969143
Minimum0
Maximum9
Zeros7859
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:36.183736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7666283452
Coefficient of variation (CV)3.014697789
Kurtosis90.88946198
Mean0.2542969143
Median Absolute Deviation (MAD)0
Skewness8.369476402
Sum2530
Variance0.5877190196
MonotonicityNot monotonic
2023-03-22T13:07:36.283979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7859
79.0%
1 2035
 
20.5%
9 55
 
0.6%
ValueCountFrequency (%)
0 7859
79.0%
1 2035
 
20.5%
9 55
 
0.6%
ValueCountFrequency (%)
9 55
 
0.6%
1 2035
 
20.5%
0 7859
79.0%

c17
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.52417328
Minimum0
Maximum99
Zeros164
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:36.407209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.57524542
Coefficient of variation (CV)0.4294539335
Kurtosis0.812045095
Mean73.52417328
Median Absolute Deviation (MAD)0
Skewness-1.661682782
Sum731492
Variance996.9961235
MonotonicityNot monotonic
2023-03-22T13:07:36.542030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
88 7914
79.5%
99 234
 
2.4%
13 200
 
2.0%
1 180
 
1.8%
5 165
 
1.7%
0 164
 
1.6%
2 128
 
1.3%
6 120
 
1.2%
4 115
 
1.2%
3 114
 
1.1%
Other values (13) 615
 
6.2%
ValueCountFrequency (%)
0 164
1.6%
1 180
1.8%
2 128
1.3%
3 114
1.1%
4 115
1.2%
ValueCountFrequency (%)
99 234
 
2.4%
88 7914
79.5%
42 1
 
< 0.1%
25 1
 
< 0.1%
23 1
 
< 0.1%

c18
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.15800583
Minimum0
Maximum99
Zeros4911
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:36.682347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation28.56639571
Coefficient of variation (CV)2.349595494
Kurtosis5.196777656
Mean12.15800583
Median Absolute Deviation (MAD)1
Skewness2.644380165
Sum120960
Variance816.0389641
MonotonicityNot monotonic
2023-03-22T13:07:36.830605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4911
49.4%
99 952
 
9.6%
5 532
 
5.3%
2 514
 
5.2%
4 422
 
4.2%
3 410
 
4.1%
7 376
 
3.8%
6 372
 
3.7%
8 246
 
2.5%
1 228
 
2.3%
Other values (20) 986
 
9.9%
ValueCountFrequency (%)
0 4911
49.4%
1 228
 
2.3%
2 514
 
5.2%
3 410
 
4.1%
4 422
 
4.2%
ValueCountFrequency (%)
99 952
9.6%
43 2
 
< 0.1%
42 3
 
< 0.1%
41 1
 
< 0.1%
30 1
 
< 0.1%

d1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4583375214
Minimum0
Maximum9
Zeros7237
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:36.960546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.385706694
Coefficient of variation (CV)3.023332434
Kurtosis30.55822524
Mean0.4583375214
Median Absolute Deviation (MAD)0
Skewness5.42829175
Sum4560
Variance1.920183042
MonotonicityNot monotonic
2023-03-22T13:07:37.061552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7237
72.7%
1 2481
 
24.9%
9 231
 
2.3%
ValueCountFrequency (%)
0 7237
72.7%
1 2481
 
24.9%
9 231
 
2.3%
ValueCountFrequency (%)
9 231
 
2.3%
1 2481
 
24.9%
0 7237
72.7%

d2
Real number (ℝ)

Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69666.89185
Minimum0
Maximum99999
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:37.203546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile500
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36578.118
Coefficient of variation (CV)0.5250430589
Kurtosis-0.2365688254
Mean69666.89185
Median Absolute Deviation (MAD)0
Skewness-1.320767457
Sum693115907
Variance1337958716
MonotonicityNot monotonic
2023-03-22T13:07:37.381596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 7468
75.1%
99999 258
 
2.6%
1000 204
 
2.1%
998 168
 
1.7%
2000 163
 
1.6%
1500 126
 
1.3%
300 126
 
1.3%
500 107
 
1.1%
1200 104
 
1.0%
3000 93
 
0.9%
Other values (152) 1132
 
11.4%
ValueCountFrequency (%)
0 17
0.2%
30 2
 
< 0.1%
35 1
 
< 0.1%
40 2
 
< 0.1%
50 7
0.1%
ValueCountFrequency (%)
99999 258
 
2.6%
88888 7468
75.1%
18000 1
 
< 0.1%
15000 4
 
< 0.1%
14000 1
 
< 0.1%

d3
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.71977083
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:38.257115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.59789589
Coefficient of variation (CV)0.5404314787
Kurtosis-0.4823774636
Mean67.71977083
Median Absolute Deviation (MAD)0
Skewness-1.228006724
Sum673744
Variance1339.405983
MonotonicityNot monotonic
2023-03-22T13:07:38.392941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
88 7468
75.1%
2 913
 
9.2%
1 809
 
8.1%
3 320
 
3.2%
4 143
 
1.4%
99 112
 
1.1%
5 69
 
0.7%
6 43
 
0.4%
7 20
 
0.2%
11 17
 
0.2%
Other values (8) 35
 
0.4%
ValueCountFrequency (%)
1 809
8.1%
2 913
9.2%
3 320
 
3.2%
4 143
 
1.4%
5 69
 
0.7%
ValueCountFrequency (%)
99 112
 
1.1%
88 7468
75.1%
19 1
 
< 0.1%
16 4
 
< 0.1%
15 1
 
< 0.1%

d4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7940496532
Minimum0
Maximum9
Zeros3953
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:38.518597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.373356668
Coefficient of variation (CV)1.729560189
Kurtosis27.55684865
Mean0.7940496532
Median Absolute Deviation (MAD)0
Skewness5.029772973
Sum7900
Variance1.886108538
MonotonicityNot monotonic
2023-03-22T13:07:38.619171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5758
57.9%
0 3953
39.7%
9 238
 
2.4%
ValueCountFrequency (%)
0 3953
39.7%
1 5758
57.9%
9 238
 
2.4%
ValueCountFrequency (%)
9 238
 
2.4%
1 5758
57.9%
0 3953
39.7%

d5
Real number (ℝ)

Distinct355
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407932.7467
Minimum0
Maximum999999
Zeros30
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:38.764096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile996
Q1998
median3000
Q3888888
95-th percentile888888
Maximum999999
Range999999
Interquartile range (IQR)887890

Descriptive statistics

Standard deviation446115.1153
Coefficient of variation (CV)1.093599665
Kurtosis-1.954432513
Mean407932.7467
Median Absolute Deviation (MAD)2020
Skewness0.1915696309
Sum4058522897
Variance1.990186961 × 1011
MonotonicityNot monotonic
2023-03-22T13:07:38.943052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888888 4191
42.1%
998 2163
21.7%
1000 408
 
4.1%
999999 324
 
3.3%
2000 235
 
2.4%
980 148
 
1.5%
1200 135
 
1.4%
1500 131
 
1.3%
1996 126
 
1.3%
3000 114
 
1.1%
Other values (345) 1974
19.8%
ValueCountFrequency (%)
0 30
0.3%
12 1
 
< 0.1%
200 2
 
< 0.1%
300 4
 
< 0.1%
400 1
 
< 0.1%
ValueCountFrequency (%)
999999 324
 
3.3%
888888 4191
42.1%
94000 1
 
< 0.1%
35000 2
 
< 0.1%
30000 1
 
< 0.1%

d6
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.10925721
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:39.100220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)86

Descriptive statistics

Standard deviation42.66707061
Coefficient of variation (CV)1.063771148
Kurtosis-1.928399968
Mean40.10925721
Median Absolute Deviation (MAD)2
Skewness0.2516847685
Sum399047
Variance1820.478914
MonotonicityNot monotonic
2023-03-22T13:07:39.235569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
88 4191
42.1%
2 3806
38.3%
3 673
 
6.8%
1 510
 
5.1%
4 239
 
2.4%
99 164
 
1.6%
5 100
 
1.0%
6 66
 
0.7%
7 53
 
0.5%
8 41
 
0.4%
Other values (12) 106
 
1.1%
ValueCountFrequency (%)
1 510
 
5.1%
2 3806
38.3%
3 673
 
6.8%
4 239
 
2.4%
5 100
 
1.0%
ValueCountFrequency (%)
99 164
 
1.6%
88 4191
42.1%
21 6
 
0.1%
19 1
 
< 0.1%
18 2
 
< 0.1%

d7
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2916876068
Minimum0
Maximum9
Zeros8999
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:39.358203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.40449629
Coefficient of variation (CV)4.815070154
Kurtosis33.27721391
Mean0.2916876068
Median Absolute Deviation (MAD)0
Skewness5.84865279
Sum2902
Variance1.972609828
MonotonicityNot monotonic
2023-03-22T13:07:39.458556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8999
90.5%
1 706
 
7.1%
9 244
 
2.5%
ValueCountFrequency (%)
0 8999
90.5%
1 706
 
7.1%
9 244
 
2.5%
ValueCountFrequency (%)
9 244
 
2.5%
1 706
 
7.1%
0 8999
90.5%

d8
Real number (ℝ)

Distinct134
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82915.9224
Minimum0
Maximum99999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:39.600536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile998
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22218.25009
Coefficient of variation (CV)0.2679612003
Kurtosis9.741980682
Mean82915.9224
Median Absolute Deviation (MAD)0
Skewness-3.42410695
Sum824930512
Variance493650637.2
MonotonicityNot monotonic
2023-03-22T13:07:39.772445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 9243
92.9%
998 261
 
2.6%
1000 47
 
0.5%
89 35
 
0.4%
99999 28
 
0.3%
980 19
 
0.2%
150 16
 
0.2%
600 13
 
0.1%
130 12
 
0.1%
1040 12
 
0.1%
Other values (124) 263
 
2.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
40 2
< 0.1%
41 4
< 0.1%
42 1
 
< 0.1%
47 1
 
< 0.1%
ValueCountFrequency (%)
99999 28
 
0.3%
88888 9243
92.9%
20000 1
 
< 0.1%
9000 1
 
< 0.1%
5000 2
 
< 0.1%

d9
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.02834456
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:39.914739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.95197542
Coefficient of variation (CV)0.2676145122
Kurtosis9.496224916
Mean82.02834456
Median Absolute Deviation (MAD)0
Skewness-3.388902435
Sum816100
Variance481.8892247
MonotonicityNot monotonic
2023-03-22T13:07:40.031612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
88 9243
92.9%
2 368
 
3.7%
1 303
 
3.0%
99 16
 
0.2%
3 10
 
0.1%
4 5
 
0.1%
6 2
 
< 0.1%
21 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
1 303
3.0%
2 368
3.7%
3 10
 
0.1%
4 5
 
0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
99 16
 
0.2%
88 9243
92.9%
21 1
 
< 0.1%
10 1
 
< 0.1%
6 2
 
< 0.1%

d16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2642476631
Minimum0
Maximum9
Zeros9248
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:40.144243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.392375878
Coefficient of variation (CV)5.269207914
Kurtosis34.56329597
Mean0.2642476631
Median Absolute Deviation (MAD)0
Skewness5.98458482
Sum2629
Variance1.938710584
MonotonicityNot monotonic
2023-03-22T13:07:40.244445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9248
93.0%
1 460
 
4.6%
9 241
 
2.4%
ValueCountFrequency (%)
0 9248
93.0%
1 460
 
4.6%
9 241
 
2.4%
ValueCountFrequency (%)
9 241
 
2.4%
1 460
 
4.6%
0 9248
93.0%

d17
Real number (ℝ)

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85153.6667
Minimum0
Maximum99999
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:40.386521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17810.09743
Coefficient of variation (CV)0.2091524431
Kurtosis18.30522982
Mean85153.6667
Median Absolute Deviation (MAD)0
Skewness-4.500462938
Sum847193830
Variance317199570.3
MonotonicityNot monotonic
2023-03-22T13:07:40.557770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 9489
95.4%
500 51
 
0.5%
1000 34
 
0.3%
99999 32
 
0.3%
2000 28
 
0.3%
600 28
 
0.3%
400 27
 
0.3%
300 27
 
0.3%
700 25
 
0.3%
800 22
 
0.2%
Other values (51) 186
 
1.9%
ValueCountFrequency (%)
0 6
0.1%
100 2
 
< 0.1%
150 2
 
< 0.1%
160 1
 
< 0.1%
175 1
 
< 0.1%
ValueCountFrequency (%)
99999 32
 
0.3%
88888 9489
95.4%
50000 1
 
< 0.1%
14000 1
 
< 0.1%
9999 1
 
< 0.1%

d18
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.19408986
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:40.705210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.75886209
Coefficient of variation (CV)0.2109276568
Kurtosis17.5748525
Mean84.19408986
Median Absolute Deviation (MAD)0
Skewness-4.420583154
Sum837647
Variance315.3771826
MonotonicityNot monotonic
2023-03-22T13:07:40.830801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
88 9489
95.4%
1 260
 
2.6%
2 100
 
1.0%
3 44
 
0.4%
99 18
 
0.2%
4 17
 
0.2%
5 6
 
0.1%
8 4
 
< 0.1%
7 3
 
< 0.1%
6 2
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
1 260
2.6%
2 100
 
1.0%
3 44
 
0.4%
4 17
 
0.2%
5 6
 
0.1%
ValueCountFrequency (%)
99 18
 
0.2%
88 9489
95.4%
21 1
 
< 0.1%
15 1
 
< 0.1%
12 1
 
< 0.1%

d22
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2625389486
Minimum0
Maximum9
Zeros9289
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:40.948121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.39986243
Coefficient of variation (CV)5.332018116
Kurtosis34.25255527
Mean0.2625389486
Median Absolute Deviation (MAD)0
Skewness5.965374504
Sum2612
Variance1.959614824
MonotonicityNot monotonic
2023-03-22T13:07:41.048643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9289
93.4%
1 416
 
4.2%
9 244
 
2.5%
ValueCountFrequency (%)
0 9289
93.4%
1 416
 
4.2%
9 244
 
2.5%
ValueCountFrequency (%)
9 244
 
2.5%
1 416
 
4.2%
0 9289
93.4%

d23
Real number (ℝ)

Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85567.73073
Minimum0
Maximum99999
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:41.191107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16842.63937
Coefficient of variation (CV)0.1968340077
Kurtosis21.13287703
Mean85567.73073
Median Absolute Deviation (MAD)0
Skewness-4.80236782
Sum851313353
Variance283674500.9
MonotonicityNot monotonic
2023-03-22T13:07:41.364501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 9533
95.8%
1000 53
 
0.5%
998 42
 
0.4%
99999 34
 
0.3%
500 25
 
0.3%
300 24
 
0.2%
200 18
 
0.2%
2000 16
 
0.2%
600 14
 
0.1%
1500 13
 
0.1%
Other values (77) 177
 
1.8%
ValueCountFrequency (%)
0 2
< 0.1%
50 1
 
< 0.1%
89 4
< 0.1%
90 3
< 0.1%
91 2
< 0.1%
ValueCountFrequency (%)
99999 34
 
0.3%
88888 9533
95.8%
60000 1
 
< 0.1%
30000 1
 
< 0.1%
12120 1
 
< 0.1%

d24
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.49231079
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:41.513224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.04369683
Coefficient of variation (CV)0.20171891
Kurtosis19.53261436
Mean84.49231079
Median Absolute Deviation (MAD)0
Skewness-4.637304463
Sum840614
Variance290.4876017
MonotonicityNot monotonic
2023-03-22T13:07:41.638481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 9533
95.8%
1 193
 
1.9%
2 151
 
1.5%
3 32
 
0.3%
4 14
 
0.1%
99 9
 
0.1%
11 4
 
< 0.1%
6 3
 
< 0.1%
13 2
 
< 0.1%
5 2
 
< 0.1%
Other values (4) 6
 
0.1%
ValueCountFrequency (%)
1 193
1.9%
2 151
1.5%
3 32
 
0.3%
4 14
 
0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
99 9
 
0.1%
88 9533
95.8%
21 2
 
< 0.1%
13 2
 
< 0.1%
11 4
 
< 0.1%

d28_1
Real number (ℝ)

Distinct646
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13877.20746
Minimum0
Maximum99999
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:41.790629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile980
Q11400
median2080
Q34000
95-th percentile99999
Maximum99999
Range99999
Interquartile range (IQR)2600

Descriptive statistics

Standard deviation31031.4173
Coefficient of variation (CV)2.236142783
Kurtosis3.79342192
Mean13877.20746
Median Absolute Deviation (MAD)1080
Skewness2.395956355
Sum138064337
Variance962948859.7
MonotonicityNot monotonic
2023-03-22T13:07:41.962031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99999 1135
 
11.4%
2000 869
 
8.7%
998 765
 
7.7%
1996 555
 
5.6%
3000 454
 
4.6%
1000 368
 
3.7%
1500 312
 
3.1%
2500 296
 
3.0%
4000 276
 
2.8%
5000 220
 
2.2%
Other values (636) 4699
47.2%
ValueCountFrequency (%)
0 80
0.8%
9 2
 
< 0.1%
12 3
 
< 0.1%
20 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
99999 1135
11.4%
80000 1
 
< 0.1%
70000 1
 
< 0.1%
60000 1
 
< 0.1%
50000 1
 
< 0.1%

d28
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.908433008
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:42.114036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation22.19261185
Coefficient of variation (CV)2.491191417
Kurtosis12.35736274
Mean8.908433008
Median Absolute Deviation (MAD)1
Skewness3.762117602
Sum88630
Variance492.5120208
MonotonicityNot monotonic
2023-03-22T13:07:42.247765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 3072
30.9%
3 2714
27.3%
4 1157
 
11.6%
1 672
 
6.8%
5 636
 
6.4%
99 562
 
5.6%
6 356
 
3.6%
7 229
 
2.3%
8 133
 
1.3%
9 82
 
0.8%
Other values (12) 336
 
3.4%
ValueCountFrequency (%)
1 672
 
6.8%
2 3072
30.9%
3 2714
27.3%
4 1157
 
11.6%
5 636
 
6.4%
ValueCountFrequency (%)
99 562
5.6%
21 43
 
0.4%
20 2
 
< 0.1%
19 8
 
0.1%
18 12
 
0.1%

d29
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.064629611
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:42.368691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7939915069
Coefficient of variation (CV)0.3845684973
Kurtosis-1.405352174
Mean2.064629611
Median Absolute Deviation (MAD)1
Skewness-0.1156275749
Sum20541
Variance0.6304225131
MonotonicityNot monotonic
2023-03-22T13:07:42.487604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 3636
36.5%
3 3478
35.0%
1 2835
28.5%
ValueCountFrequency (%)
1 2835
28.5%
2 3636
36.5%
3 3478
35.0%
ValueCountFrequency (%)
3 3478
35.0%
2 3636
36.5%
1 2835
28.5%

d30a
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.257714343
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:42.620584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.51511645
Coefficient of variation (CV)4.657416684
Kurtosis80.59677457
Mean2.257714343
Median Absolute Deviation (MAD)0
Skewness9.081263075
Sum22462
Variance110.5676739
MonotonicityNot monotonic
2023-03-22T13:07:42.738106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8837
88.8%
2 896
 
9.0%
99 116
 
1.2%
3 72
 
0.7%
4 14
 
0.1%
5 9
 
0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
1 8837
88.8%
2 896
 
9.0%
3 72
 
0.7%
4 14
 
0.1%
5 9
 
0.1%
ValueCountFrequency (%)
99 116
1.2%
7 2
 
< 0.1%
6 3
 
< 0.1%
5 9
 
0.1%
4 14
 
0.1%

d30
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.377424867
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:42.856856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum16
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.876509435
Coefficient of variation (CV)1.362331609
Kurtosis47.0960652
Mean1.377424867
Median Absolute Deviation (MAD)0
Skewness6.770686854
Sum13704
Variance3.521287658
MonotonicityNot monotonic
2023-03-22T13:07:42.972989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 8837
88.8%
2 697
 
7.0%
3 183
 
1.8%
16 121
 
1.2%
11 38
 
0.4%
5 21
 
0.2%
8 17
 
0.2%
12 12
 
0.1%
6 11
 
0.1%
13 3
 
< 0.1%
Other values (5) 9
 
0.1%
ValueCountFrequency (%)
1 8837
88.8%
2 697
 
7.0%
3 183
 
1.8%
4 2
 
< 0.1%
5 21
 
0.2%
ValueCountFrequency (%)
16 121
1.2%
14 2
 
< 0.1%
13 3
 
< 0.1%
12 12
 
0.1%
11 38
 
0.4%

sexo
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4071766007
Minimum0
Maximum1
Zeros5898
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:43.096390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4913329636
Coefficient of variation (CV)1.206682709
Kurtosis-1.857550587
Mean0.4071766007
Median Absolute Deviation (MAD)0
Skewness0.3779191295
Sum4051
Variance0.2414080811
MonotonicityNot monotonic
2023-03-22T13:07:43.211444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5898
59.3%
1 4051
40.7%
ValueCountFrequency (%)
0 5898
59.3%
1 4051
40.7%
ValueCountFrequency (%)
1 4051
40.7%
0 5898
59.3%

idade
Real number (ℝ)

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.33621469
Minimum50
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:43.354906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile53
Q158
median65
Q373
95-th percentile85
Maximum109
Range59
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.05351764
Coefficient of variation (CV)0.1515539843
Kurtosis-0.2501292996
Mean66.33621469
Median Absolute Deviation (MAD)7
Skewness0.5850734052
Sum659979
Variance101.0732169
MonotonicityNot monotonic
2023-03-22T13:07:43.514283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 435
 
4.4%
58 402
 
4.0%
63 396
 
4.0%
55 387
 
3.9%
56 386
 
3.9%
54 383
 
3.8%
62 377
 
3.8%
59 371
 
3.7%
60 361
 
3.6%
61 354
 
3.6%
Other values (44) 6097
61.3%
ValueCountFrequency (%)
50 150
 
1.5%
51 106
 
1.1%
52 147
 
1.5%
53 253
2.5%
54 383
3.8%
ValueCountFrequency (%)
109 2
 
< 0.1%
108 1
 
< 0.1%
101 2
 
< 0.1%
100 4
< 0.1%
99 6
0.1%

relacao
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.547693236
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:43.656752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum16
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.86206656
Coefficient of variation (CV)1.203123796
Kurtosis22.21374982
Mean1.547693236
Median Absolute Deviation (MAD)0
Skewness4.700895964
Sum15398
Variance3.467291874
MonotonicityNot monotonic
2023-03-22T13:07:43.768978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 7869
79.1%
2 1591
 
16.0%
8 125
 
1.3%
12 109
 
1.1%
11 106
 
1.1%
3 83
 
0.8%
9 24
 
0.2%
5 18
 
0.2%
14 9
 
0.1%
13 8
 
0.1%
Other values (2) 7
 
0.1%
ValueCountFrequency (%)
1 7869
79.1%
2 1591
 
16.0%
3 83
 
0.8%
4 2
 
< 0.1%
5 18
 
0.2%
ValueCountFrequency (%)
16 5
 
0.1%
14 9
 
0.1%
13 8
 
0.1%
12 109
1.1%
11 106
1.1%

e2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.021107649
Minimum0
Maximum9
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:43.890947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4503458209
Coefficient of variation (CV)0.4410365757
Kurtosis304.337273
Mean1.021107649
Median Absolute Deviation (MAD)0
Skewness17.28951514
Sum10159
Variance0.2028113584
MonotonicityNot monotonic
2023-03-22T13:07:43.991232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9880
99.3%
0 38
 
0.4%
9 31
 
0.3%
ValueCountFrequency (%)
0 38
 
0.4%
1 9880
99.3%
9 31
 
0.3%
ValueCountFrequency (%)
9 31
 
0.3%
1 9880
99.3%
0 38
 
0.4%

e3
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean884.8862197
Minimum0
Maximum999
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:44.115841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.08443742
Coefficient of variation (CV)0.05886003901
Kurtosis271.6764852
Mean884.8862197
Median Absolute Deviation (MAD)0
Skewness-16.52683051
Sum8803733
Variance2712.788621
MonotonicityNot monotonic
2023-03-22T13:07:44.256818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
888 9911
99.6%
10 5
 
0.1%
3 3
 
< 0.1%
58 3
 
< 0.1%
50 2
 
< 0.1%
5 2
 
< 0.1%
999 2
 
< 0.1%
0 2
 
< 0.1%
7 2
 
< 0.1%
68 1
 
< 0.1%
Other values (16) 16
 
0.2%
ValueCountFrequency (%)
0 2
< 0.1%
2 1
 
< 0.1%
3 3
< 0.1%
4 1
 
< 0.1%
5 2
< 0.1%
ValueCountFrequency (%)
999 2
 
< 0.1%
888 9911
99.6%
76 1
 
< 0.1%
68 1
 
< 0.1%
58 3
 
< 0.1%

e5
Real number (ℝ)

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.38928536
Minimum0
Maximum999
Zeros43
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:44.416157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q133
median50
Q361
95-th percentile83
Maximum999
Range999
Interquartile range (IQR)28

Descriptive statistics

Standard deviation164.8499761
Coefficient of variation (CV)2.186649937
Kurtosis27.03437359
Mean75.38928536
Median Absolute Deviation (MAD)13
Skewness5.344841386
Sum750048
Variance27175.51461
MonotonicityNot monotonic
2023-03-22T13:07:44.586259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 572
 
5.7%
40 560
 
5.6%
30 404
 
4.1%
60 404
 
4.1%
999 303
 
3.0%
45 279
 
2.8%
55 257
 
2.6%
20 237
 
2.4%
54 223
 
2.2%
35 208
 
2.1%
Other values (93) 6502
65.4%
ValueCountFrequency (%)
0 43
0.4%
1 37
0.4%
2 21
0.2%
3 30
0.3%
4 33
0.3%
ValueCountFrequency (%)
999 303
3.0%
108 1
 
< 0.1%
101 1
 
< 0.1%
100 2
 
< 0.1%
99 1
 
< 0.1%

e6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6307166549
Minimum0
Maximum9
Zeros4242
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:44.722855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8641809442
Coefficient of variation (CV)1.370157166
Kurtosis59.96208794
Mean0.6307166549
Median Absolute Deviation (MAD)0
Skewness6.36267002
Sum6275
Variance0.7468087043
MonotonicityNot monotonic
2023-03-22T13:07:44.823109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5636
56.6%
0 4242
42.6%
9 71
 
0.7%
ValueCountFrequency (%)
0 4242
42.6%
1 5636
56.6%
9 71
 
0.7%
ValueCountFrequency (%)
9 71
 
0.7%
1 5636
56.6%
0 4242
42.6%

e7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.445471907
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:44.929320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9676963986
Coefficient of variation (CV)0.3957094726
Kurtosis-0.8735450499
Mean2.445471907
Median Absolute Deviation (MAD)0
Skewness0.4814068839
Sum24330
Variance0.9364363198
MonotonicityNot monotonic
2023-03-22T13:07:45.034414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 5277
53.0%
4 2206
22.2%
3 1243
 
12.5%
1 1223
 
12.3%
ValueCountFrequency (%)
1 1223
 
12.3%
2 5277
53.0%
3 1243
 
12.5%
4 2206
22.2%
ValueCountFrequency (%)
4 2206
22.2%
3 1243
 
12.5%
2 5277
53.0%
1 1223
 
12.3%

e8
Real number (ℝ)

Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448.0805106
Minimum0
Maximum999
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:45.185880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q137
median60
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)851

Descriptive statistics

Standard deviation427.2659837
Coefficient of variation (CV)0.9535473504
Kurtosis-1.988781311
Mean448.0805106
Median Absolute Deviation (MAD)53
Skewness0.07367286832
Sum4457953
Variance182556.2208
MonotonicityNot monotonic
2023-03-22T13:07:45.356146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 4672
47.0%
40 402
 
4.0%
30 257
 
2.6%
35 244
 
2.5%
38 192
 
1.9%
33 177
 
1.8%
42 164
 
1.6%
50 163
 
1.6%
45 158
 
1.6%
36 150
 
1.5%
Other values (66) 3370
33.9%
ValueCountFrequency (%)
0 13
 
0.1%
1 15
0.2%
2 20
0.2%
3 34
0.3%
4 20
0.2%
ValueCountFrequency (%)
999 122
 
1.2%
888 4672
47.0%
76 1
 
< 0.1%
72 1
 
< 0.1%
71 3
 
< 0.1%

e9
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.028344557
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:45.492234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.13971718
Coefficient of variation (CV)0.561895254
Kurtosis8.430122191
Mean2.028344557
Median Absolute Deviation (MAD)1
Skewness1.751707408
Sum20180
Variance1.298955251
MonotonicityNot monotonic
2023-03-22T13:07:45.604868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 4587
46.1%
3 4169
41.9%
2 1052
 
10.6%
9 76
 
0.8%
5 38
 
0.4%
4 27
 
0.3%
ValueCountFrequency (%)
1 4587
46.1%
2 1052
 
10.6%
3 4169
41.9%
4 27
 
0.3%
5 38
 
0.4%
ValueCountFrequency (%)
9 76
 
0.8%
5 38
 
0.4%
4 27
 
0.3%
3 4169
41.9%
2 1052
 
10.6%

e10
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.275203538
Minimum0
Maximum9
Zeros8835
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:45.728614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.29179203
Coefficient of variation (CV)4.693951392
Kurtosis39.49866465
Mean0.275203538
Median Absolute Deviation (MAD)0
Skewness6.29592479
Sum2738
Variance1.66872665
MonotonicityNot monotonic
2023-03-22T13:07:45.828756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8835
88.8%
1 911
 
9.2%
9 203
 
2.0%
ValueCountFrequency (%)
0 8835
88.8%
1 911
 
9.2%
9 203
 
2.0%
ValueCountFrequency (%)
9 203
 
2.0%
1 911
 
9.2%
0 8835
88.8%

e11
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.359835159
Minimum0
Maximum99
Zeros807
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:45.949718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.543678766
Coefficient of variation (CV)2.188999909
Kurtosis87.48084107
Mean4.359835159
Median Absolute Deviation (MAD)1
Skewness9.123193241
Sum43376
Variance91.0818044
MonotonicityNot monotonic
2023-03-22T13:07:46.088175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 2256
22.7%
3 1980
19.9%
4 1270
12.8%
1 1033
10.4%
0 807
 
8.1%
5 786
 
7.9%
6 537
 
5.4%
7 350
 
3.5%
8 301
 
3.0%
9 181
 
1.8%
Other values (11) 448
 
4.5%
ValueCountFrequency (%)
0 807
 
8.1%
1 1033
10.4%
2 2256
22.7%
3 1980
19.9%
4 1270
12.8%
ValueCountFrequency (%)
99 93
0.9%
20 6
 
0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 6
 
0.1%

e12
Real number (ℝ)

Distinct74
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.130666399
Minimum0
Maximum99
Zeros1972
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:46.248993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q39
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation18.01401225
Coefficient of variation (CV)1.972913199
Kurtosis16.18652208
Mean9.130666399
Median Absolute Deviation (MAD)3
Skewness3.940074549
Sum90841
Variance324.5046375
MonotonicityNot monotonic
2023-03-22T13:07:46.424418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1972
19.8%
2 1090
11.0%
1 934
9.4%
3 893
9.0%
4 678
 
6.8%
5 618
 
6.2%
6 514
 
5.2%
8 371
 
3.7%
7 350
 
3.5%
99 297
 
3.0%
Other values (64) 2232
22.4%
ValueCountFrequency (%)
0 1972
19.8%
1 934
9.4%
2 1090
11.0%
3 893
9.0%
4 678
 
6.8%
ValueCountFrequency (%)
99 297
3.0%
82 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%
77 1
 
< 0.1%

e13
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.385767414
Minimum0
Maximum99
Zeros672
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:46.579691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation16.39209525
Coefficient of variation (CV)2.21941666
Kurtosis26.25257454
Mean7.385767414
Median Absolute Deviation (MAD)2
Skewness5.212602566
Sum73481
Variance268.7007866
MonotonicityNot monotonic
2023-03-22T13:07:46.715438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3 1298
13.0%
2 1260
12.7%
4 1164
11.7%
5 1072
10.8%
1 908
9.1%
6 892
9.0%
7 678
6.8%
0 672
6.8%
8 557
5.6%
9 434
 
4.4%
Other values (12) 1014
10.2%
ValueCountFrequency (%)
0 672
6.8%
1 908
9.1%
2 1260
12.7%
3 1298
13.0%
4 1164
11.7%
ValueCountFrequency (%)
99 298
3.0%
20 3
 
< 0.1%
19 2
 
< 0.1%
18 9
 
0.1%
17 9
 
0.1%

e14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3051562971
Minimum0
Maximum9
Zeros7889
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:46.838332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.046445795
Coefficient of variation (CV)3.429212521
Kurtosis55.5306445
Mean0.3051562971
Median Absolute Deviation (MAD)0
Skewness7.073710268
Sum3036
Variance1.095048802
MonotonicityNot monotonic
2023-03-22T13:07:46.939319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7889
79.3%
1 1938
 
19.5%
9 122
 
1.2%
ValueCountFrequency (%)
0 7889
79.3%
1 1938
 
19.5%
9 122
 
1.2%
ValueCountFrequency (%)
9 122
 
1.2%
1 1938
 
19.5%
0 7889
79.3%

e15
Real number (ℝ)

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean739.3385265
Minimum62
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:47.077341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile79
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range937
Interquartile range (IQR)0

Descriptive statistics

Standard deviation313.7747179
Coefficient of variation (CV)0.4243992523
Kurtosis0.6034461026
Mean739.3385265
Median Absolute Deviation (MAD)0
Skewness-1.610403673
Sum7355679
Variance98454.57357
MonotonicityNot monotonic
2023-03-22T13:07:47.239306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
888 8011
80.5%
80 120
 
1.2%
84 114
 
1.1%
78 104
 
1.0%
83 104
 
1.0%
86 100
 
1.0%
85 90
 
0.9%
82 90
 
0.9%
999 88
 
0.9%
87 86
 
0.9%
Other values (38) 1042
 
10.5%
ValueCountFrequency (%)
62 1
 
< 0.1%
63 1
 
< 0.1%
64 1
 
< 0.1%
65 3
< 0.1%
66 3
< 0.1%
ValueCountFrequency (%)
999 88
 
0.9%
888 8011
80.5%
108 1
 
< 0.1%
106 1
 
< 0.1%
105 2
 
< 0.1%

e16
Real number (ℝ)

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean428.0815157
Minimum12
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:47.406018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile45
Q171
median87
Q3888
95-th percentile999
Maximum999
Range987
Interquartile range (IQR)817

Descriptive statistics

Standard deviation429.8581132
Coefficient of variation (CV)1.004150138
Kurtosis-1.81811077
Mean428.0815157
Median Absolute Deviation (MAD)32
Skewness0.3883808136
Sum4258983
Variance184777.9975
MonotonicityNot monotonic
2023-03-22T13:07:47.578321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 2060
20.7%
999 2009
20.2%
70 251
 
2.5%
80 236
 
2.4%
75 209
 
2.1%
65 202
 
2.0%
82 201
 
2.0%
72 198
 
2.0%
84 188
 
1.9%
78 181
 
1.8%
Other values (86) 4214
42.4%
ValueCountFrequency (%)
12 4
< 0.1%
16 3
< 0.1%
17 2
< 0.1%
18 4
< 0.1%
19 2
< 0.1%
ValueCountFrequency (%)
999 2009
20.2%
888 2060
20.7%
112 2
 
< 0.1%
111 1
 
< 0.1%
109 2
 
< 0.1%

e17
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.367775656
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:47.717997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.366060385
Coefficient of variation (CV)0.999275577
Kurtosis2.97569595
Mean2.367775656
Median Absolute Deviation (MAD)0
Skewness2.055618668
Sum23557
Variance5.598241745
MonotonicityNot monotonic
2023-03-22T13:07:47.833035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5417
54.4%
2 2031
 
20.4%
3 1041
 
10.5%
9 881
 
8.9%
4 275
 
2.8%
5 142
 
1.4%
8 122
 
1.2%
6 40
 
0.4%
ValueCountFrequency (%)
1 5417
54.4%
2 2031
 
20.4%
3 1041
 
10.5%
4 275
 
2.8%
5 142
 
1.4%
ValueCountFrequency (%)
9 881
8.9%
8 122
 
1.2%
6 40
 
0.4%
5 142
 
1.4%
4 275
 
2.8%

e18
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3429490401
Minimum0
Maximum9
Zeros8857
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:47.958108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.52455633
Coefficient of variation (CV)4.445431103
Kurtosis27.33120843
Mean0.3429490401
Median Absolute Deviation (MAD)0
Skewness5.334938506
Sum3412
Variance2.324272002
MonotonicityNot monotonic
2023-03-22T13:07:48.058606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8857
89.0%
1 802
 
8.1%
9 290
 
2.9%
ValueCountFrequency (%)
0 8857
89.0%
1 802
 
8.1%
9 290
 
2.9%
ValueCountFrequency (%)
9 290
 
2.9%
1 802
 
8.1%
0 8857
89.0%

e19
Real number (ℝ)

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean830.4969344
Minimum69
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:48.190161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile88
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range930
Interquartile range (IQR)0

Descriptive statistics

Standard deviation209.0582093
Coefficient of variation (CV)0.2517266478
Kurtosis8.79808302
Mean830.4969344
Median Absolute Deviation (MAD)0
Skewness-3.279181347
Sum8262614
Variance43705.33486
MonotonicityNot monotonic
2023-03-22T13:07:48.340921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
888 9147
91.9%
999 79
 
0.8%
86 55
 
0.6%
82 51
 
0.5%
84 45
 
0.5%
80 44
 
0.4%
89 42
 
0.4%
83 38
 
0.4%
87 36
 
0.4%
78 35
 
0.4%
Other values (29) 377
 
3.8%
ValueCountFrequency (%)
69 1
 
< 0.1%
70 7
0.1%
71 2
 
< 0.1%
72 11
0.1%
73 10
0.1%
ValueCountFrequency (%)
999 79
 
0.8%
888 9147
91.9%
112 1
 
< 0.1%
107 1
 
< 0.1%
104 1
 
< 0.1%

e20
Real number (ℝ)

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.732938
Minimum14
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:48.502548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile48
Q170
median84
Q3999
95-th percentile999
Maximum999
Range985
Interquartile range (IQR)929

Descriptive statistics

Standard deviation430.900973
Coefficient of variation (CV)1.088868102
Kurtosis-1.635359063
Mean395.732938
Median Absolute Deviation (MAD)24
Skewness0.5847263584
Sum3937147
Variance185675.6485
MonotonicityNot monotonic
2023-03-22T13:07:48.677014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 2515
25.3%
888 1092
 
11.0%
80 324
 
3.3%
70 322
 
3.2%
75 263
 
2.6%
65 247
 
2.5%
82 229
 
2.3%
72 215
 
2.2%
78 209
 
2.1%
60 204
 
2.1%
Other values (87) 4329
43.5%
ValueCountFrequency (%)
14 1
 
< 0.1%
15 2
< 0.1%
18 1
 
< 0.1%
19 2
< 0.1%
20 3
< 0.1%
ValueCountFrequency (%)
999 2515
25.3%
888 1092
11.0%
115 1
 
< 0.1%
114 1
 
< 0.1%
111 1
 
< 0.1%

e21
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.746004624
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:48.819353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.651617802
Coefficient of variation (CV)0.965627581
Kurtosis1.080719864
Mean2.746004624
Median Absolute Deviation (MAD)1
Skewness1.602385871
Sum27320
Variance7.031076969
MonotonicityNot monotonic
2023-03-22T13:07:48.932472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4740
47.6%
2 2120
21.3%
9 1129
 
11.3%
3 1127
 
11.3%
4 313
 
3.1%
8 290
 
2.9%
5 154
 
1.5%
6 76
 
0.8%
ValueCountFrequency (%)
1 4740
47.6%
2 2120
21.3%
3 1127
 
11.3%
4 313
 
3.1%
5 154
 
1.5%
ValueCountFrequency (%)
9 1129
11.3%
8 290
 
2.9%
6 76
 
0.8%
5 154
 
1.5%
4 313
 
3.1%

e22
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.835963413
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:49.066808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q310
95-th percentile15
Maximum99
Range98
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.68913325
Coefficient of variation (CV)1.619345647
Kurtosis42.04718762
Mean7.835963413
Median Absolute Deviation (MAD)3
Skewness6.24151279
Sum77960
Variance161.0141026
MonotonicityNot monotonic
2023-03-22T13:07:49.200850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5 1838
18.5%
1 1570
15.8%
12 1264
12.7%
2 830
8.3%
9 730
 
7.3%
4 702
 
7.1%
6 656
 
6.6%
3 585
 
5.9%
15 438
 
4.4%
11 280
 
2.8%
Other values (9) 1056
10.6%
ValueCountFrequency (%)
1 1570
15.8%
2 830
8.3%
3 585
 
5.9%
4 702
 
7.1%
5 1838
18.5%
ValueCountFrequency (%)
99 168
 
1.7%
18 8
 
0.1%
17 21
 
0.2%
16 72
 
0.7%
15 438
4.4%

e23
Real number (ℝ)

Distinct59
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.88420947
Minimum0
Maximum999
Zeros1314
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:49.358222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median7
Q39
95-th percentile999
Maximum999
Range999
Interquartile range (IQR)2

Descriptive statistics

Standard deviation263.3399485
Coefficient of variation (CV)3.177202874
Kurtosis8.187108076
Mean82.88420947
Median Absolute Deviation (MAD)1
Skewness3.190673311
Sum824615
Variance69347.92849
MonotonicityNot monotonic
2023-03-22T13:07:49.528636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 4036
40.6%
0 1314
 
13.2%
8 1205
 
12.1%
999 759
 
7.6%
10 665
 
6.7%
6 568
 
5.7%
9 321
 
3.2%
12 236
 
2.4%
5 173
 
1.7%
11 119
 
1.2%
Other values (49) 553
 
5.6%
ValueCountFrequency (%)
0 1314
13.2%
2 2
 
< 0.1%
3 17
 
0.2%
4 57
 
0.6%
5 173
 
1.7%
ValueCountFrequency (%)
999 759
7.6%
80 1
 
< 0.1%
71 1
 
< 0.1%
70 2
 
< 0.1%
69 1
 
< 0.1%

e24
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04965323148
Minimum0
Maximum9
Zeros9871
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:49.665368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6508068748
Coefficient of variation (CV)13.10703967
Kurtosis184.1138794
Mean0.04965323148
Median Absolute Deviation (MAD)0
Skewness13.60704651
Sum494
Variance0.4235495882
MonotonicityNot monotonic
2023-03-22T13:07:49.765642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9871
99.2%
9 52
 
0.5%
1 26
 
0.3%
ValueCountFrequency (%)
0 9871
99.2%
1 26
 
0.3%
9 52
 
0.5%
ValueCountFrequency (%)
9 52
 
0.5%
1 26
 
0.3%
0 9871
99.2%

e25_0
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.963513921
Minimum0
Maximum1
Zeros363
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:49.873686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.187505677
Coefficient of variation (CV)0.1946060902
Kurtosis22.45746894
Mean0.963513921
Median Absolute Deviation (MAD)0
Skewness-4.944992868
Sum9586
Variance0.0351583789
MonotonicityNot monotonic
2023-03-22T13:07:49.986734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 9586
96.4%
0 363
 
3.6%
ValueCountFrequency (%)
0 363
 
3.6%
1 9586
96.4%
ValueCountFrequency (%)
1 9586
96.4%
0 363
 
3.6%

e25_2
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003216403659
Minimum0
Maximum1
Zeros9917
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:50.099150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05662491225
Coefficient of variation (CV)17.60503913
Kurtosis306.0638746
Mean0.003216403659
Median Absolute Deviation (MAD)0
Skewness17.54999567
Sum32
Variance0.003206380688
MonotonicityNot monotonic
2023-03-22T13:07:50.212211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9917
99.7%
1 32
 
0.3%
ValueCountFrequency (%)
0 9917
99.7%
1 32
 
0.3%
ValueCountFrequency (%)
1 32
 
0.3%
0 9917
99.7%

e25_3
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002211277515
Minimum0
Maximum1
Zeros9927
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:50.325177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04697456289
Coefficient of variation (CV)21.24317847
Kurtosis447.4549346
Mean0.002211277515
Median Absolute Deviation (MAD)0
Skewness21.1982307
Sum22
Variance0.002206609559
MonotonicityNot monotonic
2023-03-22T13:07:50.438498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9927
99.8%
1 22
 
0.2%
ValueCountFrequency (%)
0 9927
99.8%
1 22
 
0.2%
ValueCountFrequency (%)
1 22
 
0.2%
0 9927
99.8%

e25_4
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0008041009147
Minimum0
Maximum1
Zeros9941
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:50.551345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02834669472
Coefficient of variation (CV)35.25265823
Kurtosis1239.249121
Mean0.0008041009147
Median Absolute Deviation (MAD)0
Skewness35.22782992
Sum8
Variance0.0008035351018
MonotonicityNot monotonic
2023-03-22T13:07:50.664569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9941
99.9%
1 8
 
0.1%
ValueCountFrequency (%)
0 9941
99.9%
1 8
 
0.1%
ValueCountFrequency (%)
1 8
 
0.1%
0 9941
99.9%

e25_5
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001708714444
Minimum0
Maximum1
Zeros9932
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:50.779974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04130334381
Coefficient of variation (CV)24.17217456
Kurtosis580.5293203
Mean0.001708714444
Median Absolute Deviation (MAD)0
Skewness24.13322646
Sum17
Variance0.00170596621
MonotonicityNot monotonic
2023-03-22T13:07:50.893393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9932
99.8%
1 17
 
0.2%
ValueCountFrequency (%)
0 9932
99.8%
1 17
 
0.2%
ValueCountFrequency (%)
1 17
 
0.2%
0 9932
99.8%

e25_6
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004020504573
Minimum0
Maximum1
Zeros9909
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:51.005947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06328303598
Coefficient of variation (CV)15.74007313
Kurtosis243.8521736
Mean0.004020504573
Median Absolute Deviation (MAD)0
Skewness15.67811064
Sum40
Variance0.004004742643
MonotonicityNot monotonic
2023-03-22T13:07:51.119140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9909
99.6%
1 40
 
0.4%
ValueCountFrequency (%)
0 9909
99.6%
1 40
 
0.4%
ValueCountFrequency (%)
1 40
 
0.4%
0 9909
99.6%

e25_7
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01045331189
Minimum0
Maximum1
Zeros9845
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:51.231495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1017107663
Coefficient of variation (CV)9.730003976
Kurtosis90.72021451
Mean0.01045331189
Median Absolute Deviation (MAD)0
Skewness9.628186615
Sum104
Variance0.01034507997
MonotonicityNot monotonic
2023-03-22T13:07:52.256477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9845
99.0%
1 104
 
1.0%
ValueCountFrequency (%)
0 9845
99.0%
1 104
 
1.0%
ValueCountFrequency (%)
1 104
 
1.0%
0 9845
99.0%

e26
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1141823299
Minimum0
Maximum2
Zeros9131
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:52.370701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.406309416
Coefficient of variation (CV)3.55842639
Kurtosis12.98409757
Mean0.1141823299
Median Absolute Deviation (MAD)0
Skewness3.697298911
Sum1136
Variance0.1650873415
MonotonicityNot monotonic
2023-03-22T13:07:52.482675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9131
91.8%
1 500
 
5.0%
2 318
 
3.2%
ValueCountFrequency (%)
0 9131
91.8%
1 500
 
5.0%
2 318
 
3.2%
ValueCountFrequency (%)
2 318
 
3.2%
1 500
 
5.0%
0 9131
91.8%

f1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8381746909
Minimum0
Maximum1
Zeros1610
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:52.605793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3683089913
Coefficient of variation (CV)0.4394179344
Kurtosis1.373865191
Mean0.8381746909
Median Absolute Deviation (MAD)0
Skewness-1.836733255
Sum8339
Variance0.1356515131
MonotonicityNot monotonic
2023-03-22T13:07:52.717210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 8339
83.8%
0 1610
 
16.2%
ValueCountFrequency (%)
0 1610
 
16.2%
1 8339
83.8%
ValueCountFrequency (%)
1 8339
83.8%
0 1610
 
16.2%

f2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.505075887
Minimum0
Maximum9
Zeros6821
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:52.828598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.970519161
Coefficient of variation (CV)1.973667365
Kurtosis1.038923189
Mean1.505075887
Median Absolute Deviation (MAD)0
Skewness1.718366996
Sum14974
Variance8.823984084
MonotonicityNot monotonic
2023-03-22T13:07:52.929496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6821
68.6%
8 1610
 
16.2%
1 1446
 
14.5%
9 72
 
0.7%
ValueCountFrequency (%)
0 6821
68.6%
1 1446
 
14.5%
8 1610
 
16.2%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
8 1610
 
16.2%
1 1446
 
14.5%
0 6821
68.6%

f3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.560659363
Minimum0
Maximum9
Zeros6196
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:53.036493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.94007025
Coefficient of variation (CV)1.883864167
Kurtosis1.034990799
Mean1.560659363
Median Absolute Deviation (MAD)0
Skewness1.708692337
Sum15527
Variance8.644013075
MonotonicityNot monotonic
2023-03-22T13:07:53.135993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6196
62.3%
1 2080
 
20.9%
8 1610
 
16.2%
9 63
 
0.6%
ValueCountFrequency (%)
0 6196
62.3%
1 2080
 
20.9%
8 1610
 
16.2%
9 63
 
0.6%
ValueCountFrequency (%)
9 63
 
0.6%
8 1610
 
16.2%
1 2080
 
20.9%
0 6196
62.3%

f4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.496130264
Minimum0
Maximum9
Zeros6774
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:53.243945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.952769566
Coefficient of variation (CV)1.973604596
Kurtosis1.086580366
Mean1.496130264
Median Absolute Deviation (MAD)0
Skewness1.731273945
Sum14885
Variance8.718848112
MonotonicityNot monotonic
2023-03-22T13:07:53.343359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6774
68.1%
8 1610
 
16.2%
1 1510
 
15.2%
9 55
 
0.6%
ValueCountFrequency (%)
0 6774
68.1%
1 1510
 
15.2%
8 1610
 
16.2%
9 55
 
0.6%
ValueCountFrequency (%)
9 55
 
0.6%
8 1610
 
16.2%
1 1510
 
15.2%
0 6774
68.1%

f5
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.048246055
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:53.448326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.345440227
Coefficient of variation (CV)0.7694392724
Kurtosis0.7507667248
Mean3.048246055
Median Absolute Deviation (MAD)0
Skewness1.560485959
Sum30327
Variance5.501089857
MonotonicityNot monotonic
2023-03-22T13:07:53.564286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5682
57.1%
8 1610
 
16.2%
3 1293
 
13.0%
1 1259
 
12.7%
9 105
 
1.1%
ValueCountFrequency (%)
1 1259
 
12.7%
2 5682
57.1%
3 1293
 
13.0%
8 1610
 
16.2%
9 105
 
1.1%
ValueCountFrequency (%)
9 105
 
1.1%
8 1610
 
16.2%
3 1293
 
13.0%
2 5682
57.1%
1 1259
 
12.7%

f6
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.631219218
Minimum0
Maximum9
Zeros5542
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:53.692675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.921089644
Coefficient of variation (CV)1.790740087
Kurtosis0.994245147
Mean1.631219218
Median Absolute Deviation (MAD)0
Skewness1.689255046
Sum16229
Variance8.532764708
MonotonicityNot monotonic
2023-03-22T13:07:53.791991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5542
55.7%
1 2728
27.4%
8 1610
 
16.2%
9 69
 
0.7%
ValueCountFrequency (%)
0 5542
55.7%
1 2728
27.4%
8 1610
 
16.2%
9 69
 
0.7%
ValueCountFrequency (%)
9 69
 
0.7%
8 1610
 
16.2%
1 2728
27.4%
0 5542
55.7%

f7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.744898985
Minimum0
Maximum9
Zeros4491
Zeros (%)45.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:53.899719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.887039547
Coefficient of variation (CV)1.654559704
Kurtosis0.9463861975
Mean1.744898985
Median Absolute Deviation (MAD)1
Skewness1.666204454
Sum17360
Variance8.334997349
MonotonicityNot monotonic
2023-03-22T13:07:53.999151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4491
45.1%
1 3769
37.9%
8 1610
 
16.2%
9 79
 
0.8%
ValueCountFrequency (%)
0 4491
45.1%
1 3769
37.9%
8 1610
 
16.2%
9 79
 
0.8%
ValueCountFrequency (%)
9 79
 
0.8%
8 1610
 
16.2%
1 3769
37.9%
0 4491
45.1%

f8
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.710222133
Minimum0
Maximum9
Zeros5244
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:54.106300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.964668818
Coefficient of variation (CV)1.733499269
Kurtosis0.8173479968
Mean1.710222133
Median Absolute Deviation (MAD)0
Skewness1.634808383
Sum17015
Variance8.789261199
MonotonicityNot monotonic
2023-03-22T13:07:54.206272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5244
52.7%
1 2965
29.8%
8 1610
 
16.2%
9 130
 
1.3%
ValueCountFrequency (%)
0 5244
52.7%
1 2965
29.8%
8 1610
 
16.2%
9 130
 
1.3%
ValueCountFrequency (%)
9 130
 
1.3%
8 1610
 
16.2%
1 2965
29.8%
0 5244
52.7%

f9
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.660870439
Minimum0
Maximum9
Zeros5271
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:54.313607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.913161088
Coefficient of variation (CV)1.753996591
Kurtosis0.9785221721
Mean1.660870439
Median Absolute Deviation (MAD)0
Skewness1.681934156
Sum16524
Variance8.486507525
MonotonicityNot monotonic
2023-03-22T13:07:54.414219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5271
53.0%
1 2996
30.1%
8 1610
 
16.2%
9 72
 
0.7%
ValueCountFrequency (%)
0 5271
53.0%
1 2996
30.1%
8 1610
 
16.2%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
8 1610
 
16.2%
1 2996
30.1%
0 5271
53.0%

f10
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.393506885
Minimum0
Maximum9
Zeros7835
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:54.521801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.991484035
Coefficient of variation (CV)2.146730717
Kurtosis1.140513242
Mean1.393506885
Median Absolute Deviation (MAD)0
Skewness1.762979002
Sum13864
Variance8.948976733
MonotonicityNot monotonic
2023-03-22T13:07:54.621317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7835
78.8%
8 1610
 
16.2%
1 444
 
4.5%
9 60
 
0.6%
ValueCountFrequency (%)
0 7835
78.8%
1 444
 
4.5%
8 1610
 
16.2%
9 60
 
0.6%
ValueCountFrequency (%)
9 60
 
0.6%
8 1610
 
16.2%
1 444
 
4.5%
0 7835
78.8%

f11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.781184039
Minimum0
Maximum9
Zeros447
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:54.728296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7477776787
Coefficient of variation (CV)0.419820559
Kurtosis44.94981702
Mean1.781184039
Median Absolute Deviation (MAD)0
Skewness4.016759018
Sum17721
Variance0.5591714568
MonotonicityNot monotonic
2023-03-22T13:07:54.830090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7795
78.3%
1 1654
 
16.6%
0 447
 
4.5%
9 53
 
0.5%
ValueCountFrequency (%)
0 447
 
4.5%
1 1654
 
16.6%
2 7795
78.3%
9 53
 
0.5%
ValueCountFrequency (%)
9 53
 
0.5%
2 7795
78.3%
1 1654
 
16.6%
0 447
 
4.5%

f12
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.589506483
Minimum0
Maximum9
Zeros965
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:54.939468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.002286513
Coefficient of variation (CV)0.6305645959
Kurtosis28.02220335
Mean1.589506483
Median Absolute Deviation (MAD)0
Skewness3.700381348
Sum15814
Variance1.004578255
MonotonicityNot monotonic
2023-03-22T13:07:55.041107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 6022
60.5%
1 2861
28.8%
0 965
 
9.7%
9 101
 
1.0%
ValueCountFrequency (%)
0 965
 
9.7%
1 2861
28.8%
2 6022
60.5%
9 101
 
1.0%
ValueCountFrequency (%)
9 101
 
1.0%
2 6022
60.5%
1 2861
28.8%
0 965
 
9.7%

f13
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.818273193
Minimum0
Maximum9
Zeros527
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:55.150438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.098187175
Coefficient of variation (CV)0.6039725929
Kurtosis28.5482111
Mean1.818273193
Median Absolute Deviation (MAD)0
Skewness4.434482287
Sum18090
Variance1.206015072
MonotonicityNot monotonic
2023-03-22T13:07:55.256588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7316
73.5%
1 1937
 
19.5%
0 527
 
5.3%
9 169
 
1.7%
ValueCountFrequency (%)
0 527
 
5.3%
1 1937
 
19.5%
2 7316
73.5%
9 169
 
1.7%
ValueCountFrequency (%)
9 169
 
1.7%
2 7316
73.5%
1 1937
 
19.5%
0 527
 
5.3%

f14
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.675545281
Minimum0
Maximum9
Zeros923
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:55.366119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060809912
Coefficient of variation (CV)0.633113246
Kurtosis26.88129579
Mean1.675545281
Median Absolute Deviation (MAD)0
Skewness3.830390107
Sum16670
Variance1.125317669
MonotonicityNot monotonic
2023-03-22T13:07:55.467945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 6620
66.5%
1 2278
 
22.9%
0 923
 
9.3%
9 128
 
1.3%
ValueCountFrequency (%)
0 923
 
9.3%
1 2278
 
22.9%
2 6620
66.5%
9 128
 
1.3%
ValueCountFrequency (%)
9 128
 
1.3%
2 6620
66.5%
1 2278
 
22.9%
0 923
 
9.3%

f15
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.676851945
Minimum0
Maximum9
Zeros1185
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:55.577848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.212539986
Coefficient of variation (CV)0.7231049762
Kurtosis21.5471645
Mean1.676851945
Median Absolute Deviation (MAD)0
Skewness3.647249439
Sum16683
Variance1.470253217
MonotonicityNot monotonic
2023-03-22T13:07:55.679627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 6479
65.1%
1 2105
 
21.2%
0 1185
 
11.9%
9 180
 
1.8%
ValueCountFrequency (%)
0 1185
 
11.9%
1 2105
 
21.2%
2 6479
65.1%
9 180
 
1.8%
ValueCountFrequency (%)
9 180
 
1.8%
2 6479
65.1%
1 2105
 
21.2%
0 1185
 
11.9%

f16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8624987436
Minimum0
Maximum9
Zeros1920
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:55.788388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7861319521
Coefficient of variation (CV)0.9114586634
Kurtosis76.96120762
Mean0.8624987436
Median Absolute Deviation (MAD)0
Skewness7.443965755
Sum8581
Variance0.618003446
MonotonicityNot monotonic
2023-03-22T13:07:55.888842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7960
80.0%
0 1920
 
19.3%
9 69
 
0.7%
ValueCountFrequency (%)
0 1920
 
19.3%
1 7960
80.0%
9 69
 
0.7%
ValueCountFrequency (%)
9 69
 
0.7%
1 7960
80.0%
0 1920
 
19.3%

f17
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2392200221
Minimum0
Maximum9
Zeros8305
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:55.998746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9208010548
Coefficient of variation (CV)3.849180544
Kurtosis72.9022901
Mean0.2392200221
Median Absolute Deviation (MAD)0
Skewness8.039916167
Sum2380
Variance0.8478745826
MonotonicityNot monotonic
2023-03-22T13:07:56.099159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8305
83.5%
1 1552
 
15.6%
9 92
 
0.9%
ValueCountFrequency (%)
0 8305
83.5%
1 1552
 
15.6%
9 92
 
0.9%
ValueCountFrequency (%)
9 92
 
0.9%
1 1552
 
15.6%
0 8305
83.5%

f18
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.80199015
Minimum0
Maximum9
Zeros1143
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:56.209125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.80705643
Coefficient of variation (CV)0.412681637
Kurtosis1.721988417
Mean6.80199015
Median Absolute Deviation (MAD)0
Skewness-1.922324769
Sum67673
Variance7.879565802
MonotonicityNot monotonic
2023-03-22T13:07:56.309227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8397
84.4%
0 1143
 
11.5%
1 398
 
4.0%
9 11
 
0.1%
ValueCountFrequency (%)
0 1143
 
11.5%
1 398
 
4.0%
8 8397
84.4%
9 11
 
0.1%
ValueCountFrequency (%)
9 11
 
0.1%
8 8397
84.4%
1 398
 
4.0%
0 1143
 
11.5%

f19
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.823600362
Minimum0
Maximum9
Zeros928
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:56.416263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.758024055
Coefficient of variation (CV)0.4041889777
Kurtosis1.750441248
Mean6.823600362
Median Absolute Deviation (MAD)0
Skewness-1.927173394
Sum67888
Variance7.606696686
MonotonicityNot monotonic
2023-03-22T13:07:56.515782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8397
84.4%
0 928
 
9.3%
1 613
 
6.2%
9 11
 
0.1%
ValueCountFrequency (%)
0 928
 
9.3%
1 613
 
6.2%
8 8397
84.4%
9 11
 
0.1%
ValueCountFrequency (%)
9 11
 
0.1%
8 8397
84.4%
1 613
 
6.2%
0 928
 
9.3%

f20
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.816664991
Minimum0
Maximum9
Zeros981
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:56.622810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.771262375
Coefficient of variation (CV)0.4065422576
Kurtosis1.736831924
Mean6.816664991
Median Absolute Deviation (MAD)0
Skewness-1.924239676
Sum67819
Variance7.679895149
MonotonicityNot monotonic
2023-03-22T13:07:56.722496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8397
84.4%
0 981
 
9.9%
1 562
 
5.6%
9 9
 
0.1%
ValueCountFrequency (%)
0 981
 
9.9%
1 562
 
5.6%
8 8397
84.4%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 8397
84.4%
1 562
 
5.6%
0 981
 
9.9%

f20_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.850638255
Minimum0
Maximum9
Zeros683
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:56.829482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.699201814
Coefficient of variation (CV)0.3940073485
Kurtosis1.776280278
Mean6.850638255
Median Absolute Deviation (MAD)0
Skewness-1.932223738
Sum68157
Variance7.285690435
MonotonicityNot monotonic
2023-03-22T13:07:56.929030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8397
84.4%
1 855
 
8.6%
0 683
 
6.9%
9 14
 
0.1%
ValueCountFrequency (%)
0 683
 
6.9%
1 855
 
8.6%
8 8397
84.4%
9 14
 
0.1%
ValueCountFrequency (%)
9 14
 
0.1%
8 8397
84.4%
1 855
 
8.6%
0 683
 
6.9%

f21
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1065433712
Minimum0
Maximum2
Zeros9211
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:57.036009image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3999225934
Coefficient of variation (CV)3.753613096
Kurtosis14.32030529
Mean0.1065433712
Median Absolute Deviation (MAD)0
Skewness3.884807226
Sum1060
Variance0.1599380807
MonotonicityNot monotonic
2023-03-22T13:07:57.147549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9211
92.6%
1 416
 
4.2%
2 322
 
3.2%
ValueCountFrequency (%)
0 9211
92.6%
1 416
 
4.2%
2 322
 
3.2%
ValueCountFrequency (%)
2 322
 
3.2%
1 416
 
4.2%
0 9211
92.6%

g1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.280832244
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:57.267885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.033678687
Coefficient of variation (CV)0.4532024173
Kurtosis26.02159525
Mean2.280832244
Median Absolute Deviation (MAD)0
Skewness4.312962647
Sum22692
Variance1.068491627
MonotonicityNot monotonic
2023-03-22T13:07:57.384079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 6215
62.5%
3 2624
26.4%
1 950
 
9.5%
9 160
 
1.6%
ValueCountFrequency (%)
1 950
 
9.5%
2 6215
62.5%
3 2624
26.4%
9 160
 
1.6%
ValueCountFrequency (%)
9 160
 
1.6%
3 2624
26.4%
2 6215
62.5%
1 950
 
9.5%

g2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.300130666
Minimum0
Maximum9
Zeros479
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:57.512908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.17840707
Coefficient of variation (CV)0.298406586
Kurtosis6.00603638
Mean7.300130666
Median Absolute Deviation (MAD)0
Skewness-2.813134755
Sum72629
Variance4.745457361
MonotonicityNot monotonic
2023-03-22T13:07:57.613810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 8999
90.5%
0 479
 
4.8%
1 368
 
3.7%
2 94
 
0.9%
9 9
 
0.1%
ValueCountFrequency (%)
0 479
 
4.8%
1 368
 
3.7%
2 94
 
0.9%
8 8999
90.5%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 8999
90.5%
2 94
 
0.9%
1 368
 
3.7%
0 479
 
4.8%

g3_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.11418233
Minimum0
Maximum9
Zeros5704
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:57.721395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.461898821
Coefficient of variation (CV)2.209601387
Kurtosis6.076287799
Mean1.11418233
Median Absolute Deviation (MAD)0
Skewness2.771992764
Sum11085
Variance6.060945806
MonotonicityNot monotonic
2023-03-22T13:07:57.821399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5704
57.3%
1 3390
34.1%
9 855
 
8.6%
ValueCountFrequency (%)
0 5704
57.3%
1 3390
34.1%
9 855
 
8.6%
ValueCountFrequency (%)
9 855
 
8.6%
1 3390
34.1%
0 5704
57.3%

g3_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.028344557
Minimum0
Maximum9
Zeros6558
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:57.926937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.481738831
Coefficient of variation (CV)2.413333949
Kurtosis6.173618976
Mean1.028344557
Median Absolute Deviation (MAD)0
Skewness2.802105654
Sum10231
Variance6.159027627
MonotonicityNot monotonic
2023-03-22T13:07:58.024992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6558
65.9%
1 2536
 
25.5%
9 855
 
8.6%
ValueCountFrequency (%)
0 6558
65.9%
1 2536
 
25.5%
9 855
 
8.6%
ValueCountFrequency (%)
9 855
 
8.6%
1 2536
 
25.5%
0 6558
65.9%

g3_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.024424565
Minimum0
Maximum9
Zeros6597
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:58.130585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.482570218
Coefficient of variation (CV)2.42338021
Kurtosis6.179151532
Mean1.024424565
Median Absolute Deviation (MAD)0
Skewness2.803750694
Sum10192
Variance6.163154888
MonotonicityNot monotonic
2023-03-22T13:07:58.228971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6597
66.3%
1 2497
 
25.1%
9 855
 
8.6%
ValueCountFrequency (%)
0 6597
66.3%
1 2497
 
25.1%
9 855
 
8.6%
ValueCountFrequency (%)
9 855
 
8.6%
1 2497
 
25.1%
0 6597
66.3%

g3_4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.083224445
Minimum0
Maximum9
Zeros6012
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:58.334569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.469416675
Coefficient of variation (CV)2.279690684
Kurtosis6.106132777
Mean1.083224445
Median Absolute Deviation (MAD)0
Skewness2.781530491
Sum10777
Variance6.098018713
MonotonicityNot monotonic
2023-03-22T13:07:58.432964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6012
60.4%
1 3082
31.0%
9 855
 
8.6%
ValueCountFrequency (%)
0 6012
60.4%
1 3082
31.0%
9 855
 
8.6%
ValueCountFrequency (%)
9 855
 
8.6%
1 3082
31.0%
0 6012
60.4%

g3_5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.093175193
Minimum0
Maximum9
Zeros5913
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:58.538630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.467045091
Coefficient of variation (CV)2.2567701
Kurtosis6.095891364
Mean1.093175193
Median Absolute Deviation (MAD)0
Skewness2.7782992
Sum10876
Variance6.086311479
MonotonicityNot monotonic
2023-03-22T13:07:58.637072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5913
59.4%
1 3181
32.0%
9 855
 
8.6%
ValueCountFrequency (%)
0 5913
59.4%
1 3181
32.0%
9 855
 
8.6%
ValueCountFrequency (%)
9 855
 
8.6%
1 3181
32.0%
0 5913
59.4%

g3_6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.086038798
Minimum0
Maximum9
Zeros5984
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:58.742774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.468750223
Coefficient of variation (CV)2.273169456
Kurtosis6.103174001
Mean1.086038798
Median Absolute Deviation (MAD)0
Skewness2.780600807
Sum10805
Variance6.094727663
MonotonicityNot monotonic
2023-03-22T13:07:58.844371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5984
60.1%
1 3110
31.3%
9 855
 
8.6%
ValueCountFrequency (%)
0 5984
60.1%
1 3110
31.3%
9 855
 
8.6%
ValueCountFrequency (%)
9 855
 
8.6%
1 3110
31.3%
0 5984
60.1%

g3_7
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.736556438
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:58.950128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.059760123
Coefficient of variation (CV)0.1847380279
Kurtosis8.945252877
Mean5.736556438
Median Absolute Deviation (MAD)0
Skewness-1.998944471
Sum57073
Variance1.123091518
MonotonicityNot monotonic
2023-03-22T13:07:59.061750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 8350
83.9%
5 478
 
4.8%
4 459
 
4.6%
9 203
 
2.0%
3 198
 
2.0%
1 196
 
2.0%
2 65
 
0.7%
ValueCountFrequency (%)
1 196
2.0%
2 65
 
0.7%
3 198
2.0%
4 459
4.6%
5 478
4.8%
ValueCountFrequency (%)
9 203
 
2.0%
6 8350
83.9%
5 478
 
4.8%
4 459
 
4.6%
3 198
 
2.0%

g3_8
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.903005327
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:59.184128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8101561886
Coefficient of variation (CV)0.1372446989
Kurtosis13.34801823
Mean5.903005327
Median Absolute Deviation (MAD)0
Skewness-0.9469063143
Sum58729
Variance0.6563530499
MonotonicityNot monotonic
2023-03-22T13:07:59.296237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 8792
88.4%
5 385
 
3.9%
4 340
 
3.4%
9 254
 
2.6%
3 97
 
1.0%
1 47
 
0.5%
2 34
 
0.3%
ValueCountFrequency (%)
1 47
 
0.5%
2 34
 
0.3%
3 97
 
1.0%
4 340
3.4%
5 385
3.9%
ValueCountFrequency (%)
9 254
 
2.6%
6 8792
88.4%
5 385
 
3.9%
4 340
 
3.4%
3 97
 
1.0%

g3_9
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8023922
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:59.418556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.937400474
Coefficient of variation (CV)0.1615541387
Kurtosis9.870644098
Mean5.8023922
Median Absolute Deviation (MAD)0
Skewness-1.5651926
Sum57728
Variance0.8787196487
MonotonicityNot monotonic
2023-03-22T13:07:59.530612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 8472
85.2%
4 468
 
4.7%
5 457
 
4.6%
9 220
 
2.2%
3 182
 
1.8%
1 87
 
0.9%
2 63
 
0.6%
ValueCountFrequency (%)
1 87
 
0.9%
2 63
 
0.6%
3 182
 
1.8%
4 468
4.7%
5 457
4.6%
ValueCountFrequency (%)
9 220
 
2.2%
6 8472
85.2%
5 457
 
4.6%
4 468
 
4.7%
3 182
 
1.8%

g3_10
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.955673937
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:59.653257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6663739963
Coefficient of variation (CV)0.111888932
Kurtosis23.27916231
Mean5.955673937
Median Absolute Deviation (MAD)0
Skewness-1.336254542
Sum59253
Variance0.444054303
MonotonicityNot monotonic
2023-03-22T13:07:59.764989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 9288
93.4%
5 192
 
1.9%
9 185
 
1.9%
4 148
 
1.5%
3 68
 
0.7%
2 36
 
0.4%
1 32
 
0.3%
ValueCountFrequency (%)
1 32
 
0.3%
2 36
 
0.4%
3 68
 
0.7%
4 148
1.5%
5 192
1.9%
ValueCountFrequency (%)
9 185
 
1.9%
6 9288
93.4%
5 192
 
1.9%
4 148
 
1.5%
3 68
 
0.7%

g3_11
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.917680169
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:07:59.887465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7133048335
Coefficient of variation (CV)0.1205379157
Kurtosis23.13519557
Mean5.917680169
Median Absolute Deviation (MAD)0
Skewness-2.377313445
Sum58875
Variance0.5088037855
MonotonicityNot monotonic
2023-03-22T13:07:59.999228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 9206
92.5%
5 254
 
2.6%
4 161
 
1.6%
9 151
 
1.5%
3 74
 
0.7%
1 62
 
0.6%
2 41
 
0.4%
ValueCountFrequency (%)
1 62
 
0.6%
2 41
 
0.4%
3 74
 
0.7%
4 161
1.6%
5 254
2.6%
ValueCountFrequency (%)
9 151
 
1.5%
6 9206
92.5%
5 254
 
2.6%
4 161
 
1.6%
3 74
 
0.7%

g3_12
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.847924415
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:00.123916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8430818801
Coefficient of variation (CV)0.1441677115
Kurtosis13.21257295
Mean5.847924415
Median Absolute Deviation (MAD)0
Skewness-1.812715665
Sum58181
Variance0.7107870566
MonotonicityNot monotonic
2023-03-22T13:08:00.235759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 8779
88.2%
5 364
 
3.7%
4 346
 
3.5%
9 184
 
1.8%
3 168
 
1.7%
1 73
 
0.7%
2 35
 
0.4%
ValueCountFrequency (%)
1 73
 
0.7%
2 35
 
0.4%
3 168
1.7%
4 346
3.5%
5 364
3.7%
ValueCountFrequency (%)
9 184
 
1.8%
6 8779
88.2%
5 364
 
3.7%
4 346
 
3.5%
3 168
 
1.7%

g3_13_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.422756056
Minimum0
Maximum9
Zeros1994
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:00.359293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.240616779
Coefficient of variation (CV)0.5045523683
Kurtosis0.1723496904
Mean6.422756056
Median Absolute Deviation (MAD)0
Skewness-1.463523028
Sum63900
Variance10.50159711
MonotonicityNot monotonic
2023-03-22T13:08:00.458980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1994
 
20.0%
9 428
 
4.3%
1 24
 
0.2%
ValueCountFrequency (%)
0 1994
 
20.0%
1 24
 
0.2%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 24
 
0.2%
0 1994
 
20.0%

g3_13_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.430797065
Minimum0
Maximum9
Zeros1914
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:00.566165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.22587554
Coefficient of variation (CV)0.5016291926
Kurtosis0.1831429755
Mean6.430797065
Median Absolute Deviation (MAD)0
Skewness-1.465882467
Sum63980
Variance10.406273
MonotonicityNot monotonic
2023-03-22T13:08:00.665672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1914
 
19.2%
9 428
 
4.3%
1 104
 
1.0%
ValueCountFrequency (%)
0 1914
 
19.2%
1 104
 
1.0%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 104
 
1.0%
0 1914
 
19.2%

g3_13_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.440144738
Minimum0
Maximum9
Zeros1821
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:00.772836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.208628392
Coefficient of variation (CV)0.4982230249
Kurtosis0.1950587835
Mean6.440144738
Median Absolute Deviation (MAD)0
Skewness-1.468449861
Sum64073
Variance10.29529616
MonotonicityNot monotonic
2023-03-22T13:08:00.872375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1821
 
18.3%
9 428
 
4.3%
1 197
 
2.0%
ValueCountFrequency (%)
0 1821
 
18.3%
1 197
 
2.0%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 197
 
2.0%
0 1821
 
18.3%

g3_13_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.51170972
Minimum0
Maximum9
Zeros1109
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:00.980061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.072438109
Coefficient of variation (CV)0.4718327815
Kurtosis0.2566990669
Mean6.51170972
Median Absolute Deviation (MAD)0
Skewness-1.480519677
Sum64785
Variance9.439875937
MonotonicityNot monotonic
2023-03-22T13:08:01.079945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1109
 
11.1%
1 909
 
9.1%
9 428
 
4.3%
ValueCountFrequency (%)
0 1109
 
11.1%
1 909
 
9.1%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 909
 
9.1%
0 1109
 
11.1%

g3_13_5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.430797065
Minimum0
Maximum9
Zeros1914
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:01.186764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.22587554
Coefficient of variation (CV)0.5016291926
Kurtosis0.1831429755
Mean6.430797065
Median Absolute Deviation (MAD)0
Skewness-1.465882467
Sum63980
Variance10.406273
MonotonicityNot monotonic
2023-03-22T13:08:01.286293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1914
 
19.2%
9 428
 
4.3%
1 104
 
1.0%
ValueCountFrequency (%)
0 1914
 
19.2%
1 104
 
1.0%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 104
 
1.0%
0 1914
 
19.2%

g3_13_6
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.433108855
Minimum0
Maximum9
Zeros1891
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:01.394030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.221621235
Coefficient of variation (CV)0.5007876141
Kurtosis0.1861550495
Mean6.433108855
Median Absolute Deviation (MAD)0
Skewness-1.466535353
Sum64003
Variance10.37884338
MonotonicityNot monotonic
2023-03-22T13:08:01.494136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1891
 
19.0%
9 428
 
4.3%
1 127
 
1.3%
ValueCountFrequency (%)
0 1891
 
19.0%
1 127
 
1.3%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 127
 
1.3%
0 1891
 
19.0%

g3_13_7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.434113981
Minimum0
Maximum9
Zeros1881
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:01.601131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.219769266
Coefficient of variation (CV)0.500421546
Kurtosis0.1874515331
Mean6.434113981
Median Absolute Deviation (MAD)0
Skewness-1.466815586
Sum64013
Variance10.36691412
MonotonicityNot monotonic
2023-03-22T13:08:01.700518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1881
 
18.9%
9 428
 
4.3%
1 137
 
1.4%
ValueCountFrequency (%)
0 1881
 
18.9%
1 137
 
1.4%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 137
 
1.4%
0 1881
 
18.9%

g3_13_8
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.450196
Minimum0
Maximum9
Zeros1721
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:01.808018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.189948467
Coefficient of variation (CV)0.4945506256
Kurtosis0.2070492831
Mean6.450196
Median Absolute Deviation (MAD)0
Skewness-1.470987554
Sum64173
Variance10.17577122
MonotonicityNot monotonic
2023-03-22T13:08:01.907525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1721
 
17.3%
9 428
 
4.3%
1 297
 
3.0%
ValueCountFrequency (%)
0 1721
 
17.3%
1 297
 
3.0%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 297
 
3.0%
0 1721
 
17.3%

g3_13_9
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.42175093
Minimum0
Maximum9
Zeros2004
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:02.014465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.242453319
Coefficient of variation (CV)0.5049173278
Kurtosis0.1709671268
Mean6.42175093
Median Absolute Deviation (MAD)0
Skewness-1.463218656
Sum63890
Variance10.51350353
MonotonicityNot monotonic
2023-03-22T13:08:02.113970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 2004
 
20.1%
9 428
 
4.3%
1 14
 
0.1%
ValueCountFrequency (%)
0 2004
 
20.1%
1 14
 
0.1%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 14
 
0.1%
0 2004
 
20.1%

g3_13_10
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.485274902
Minimum0
Maximum9
Zeros1372
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:02.221491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.123627045
Coefficient of variation (CV)0.4816491347
Kurtosis0.2410374124
Mean6.485274902
Median Absolute Deviation (MAD)0
Skewness-1.477810931
Sum64522
Variance9.757045916
MonotonicityNot monotonic
2023-03-22T13:08:02.321077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1372
 
13.8%
1 646
 
6.5%
9 428
 
4.3%
ValueCountFrequency (%)
0 1372
 
13.8%
1 646
 
6.5%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 646
 
6.5%
0 1372
 
13.8%

g3_13_11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.46406674
Minimum0
Maximum9
Zeros1583
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:02.427977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.163936624
Coefficient of variation (CV)0.4894653398
Kurtosis0.2220519999
Mean6.46406674
Median Absolute Deviation (MAD)0
Skewness-1.474082636
Sum64311
Variance10.01049496
MonotonicityNot monotonic
2023-03-22T13:08:02.527676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7503
75.4%
0 1583
 
15.9%
1 435
 
4.4%
9 428
 
4.3%
ValueCountFrequency (%)
0 1583
 
15.9%
1 435
 
4.4%
8 7503
75.4%
9 428
 
4.3%
ValueCountFrequency (%)
9 428
 
4.3%
8 7503
75.4%
1 435
 
4.4%
0 1583
 
15.9%

g4_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1565986531
Minimum0
Maximum9
Zeros9351
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:02.633941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.000302492
Coefficient of variation (CV)6.387682604
Kurtosis70.75652342
Mean0.1565986531
Median Absolute Deviation (MAD)0
Skewness8.36194826
Sum1558
Variance1.000605076
MonotonicityNot monotonic
2023-03-22T13:08:02.734336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9351
94.0%
1 478
 
4.8%
9 120
 
1.2%
ValueCountFrequency (%)
0 9351
94.0%
1 478
 
4.8%
9 120
 
1.2%
ValueCountFrequency (%)
9 120
 
1.2%
1 478
 
4.8%
0 9351
94.0%

g4_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1536837873
Minimum0
Maximum9
Zeros9532
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:02.842468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.065884383
Coefficient of variation (CV)6.935568168
Kurtosis63.3467946
Mean0.1536837873
Median Absolute Deviation (MAD)0
Skewness8.00068899
Sum1529
Variance1.136109518
MonotonicityNot monotonic
2023-03-22T13:08:02.943053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9532
95.8%
1 278
 
2.8%
9 139
 
1.4%
ValueCountFrequency (%)
0 9532
95.8%
1 278
 
2.8%
9 139
 
1.4%
ValueCountFrequency (%)
9 139
 
1.4%
1 278
 
2.8%
0 9532
95.8%

g4_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1787114283
Minimum0
Maximum9
Zeros9587
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:03.051154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.194926746
Coefficient of variation (CV)6.68634769
Kurtosis49.88019575
Mean0.1787114283
Median Absolute Deviation (MAD)0
Skewness7.162551362
Sum1778
Variance1.427849928
MonotonicityNot monotonic
2023-03-22T13:08:03.151449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9587
96.4%
1 185
 
1.9%
9 177
 
1.8%
ValueCountFrequency (%)
0 9587
96.4%
1 185
 
1.9%
9 177
 
1.8%
ValueCountFrequency (%)
9 177
 
1.8%
1 185
 
1.9%
0 9587
96.4%

g4_4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1213187255
Minimum0
Maximum9
Zeros9558
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:03.259878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9191572499
Coefficient of variation (CV)7.576383993
Kurtosis86.34617592
Mean0.1213187255
Median Absolute Deviation (MAD)0
Skewness9.266488024
Sum1207
Variance0.8448500501
MonotonicityNot monotonic
2023-03-22T13:08:03.361277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9558
96.1%
1 289
 
2.9%
9 102
 
1.0%
ValueCountFrequency (%)
0 9558
96.1%
1 289
 
2.9%
9 102
 
1.0%
ValueCountFrequency (%)
9 102
 
1.0%
1 289
 
2.9%
0 9558
96.1%

g4_5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1216202633
Minimum0
Maximum9
Zeros9571
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:03.469337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9271211501
Coefficient of variation (CV)7.623081258
Kurtosis84.99438506
Mean0.1216202633
Median Absolute Deviation (MAD)0
Skewness9.204086248
Sum1210
Variance0.859553627
MonotonicityNot monotonic
2023-03-22T13:08:03.569738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9571
96.2%
1 274
 
2.8%
9 104
 
1.0%
ValueCountFrequency (%)
0 9571
96.2%
1 274
 
2.8%
9 104
 
1.0%
ValueCountFrequency (%)
9 104
 
1.0%
1 274
 
2.8%
0 9571
96.2%

g5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1039300432
Minimum0
Maximum2
Zeros9230
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:03.678317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3955594308
Coefficient of variation (CV)3.806016225
Kurtosis14.8002096
Mean0.1039300432
Median Absolute Deviation (MAD)0
Skewness3.943473059
Sum1034
Variance0.1564672633
MonotonicityNot monotonic
2023-03-22T13:08:03.790032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9230
92.8%
1 404
 
4.1%
2 315
 
3.2%
ValueCountFrequency (%)
0 9230
92.8%
1 404
 
4.1%
2 315
 
3.2%
ValueCountFrequency (%)
2 315
 
3.2%
1 404
 
4.1%
0 9230
92.8%

h1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.000904614
Minimum0
Maximum9
Zeros439
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:03.912610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6359261566
Coefficient of variation (CV)0.6353514091
Kurtosis138.2804063
Mean1.000904614
Median Absolute Deviation (MAD)0
Skewness11.03368354
Sum9958
Variance0.4044020766
MonotonicityNot monotonic
2023-03-22T13:08:04.012939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9454
95.0%
0 439
 
4.4%
9 56
 
0.6%
ValueCountFrequency (%)
0 439
 
4.4%
1 9454
95.0%
9 56
 
0.6%
ValueCountFrequency (%)
9 56
 
0.6%
1 9454
95.0%
0 439
 
4.4%

h2
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.803598352
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:04.121113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9402233894
Coefficient of variation (CV)0.1204858768
Kurtosis21.32586125
Mean7.803598352
Median Absolute Deviation (MAD)0
Skewness-4.736130714
Sum77638
Variance0.884020022
MonotonicityNot monotonic
2023-03-22T13:08:04.232897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 9510
95.6%
3 196
 
2.0%
4 143
 
1.4%
5 57
 
0.6%
2 30
 
0.3%
1 8
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
1 8
 
0.1%
2 30
 
0.3%
3 196
2.0%
4 143
1.4%
5 57
 
0.6%
ValueCountFrequency (%)
9 5
 
0.1%
8 9510
95.6%
5 57
 
0.6%
4 143
 
1.4%
3 196
 
2.0%

h3
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.128354609
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:04.355403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.052367565
Coefficient of variation (CV)0.6560533641
Kurtosis2.542583627
Mean3.128354609
Median Absolute Deviation (MAD)1
Skewness1.709991018
Sum31124
Variance4.212212622
MonotonicityNot monotonic
2023-03-22T13:08:04.469998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 3362
33.8%
3 2471
24.8%
1 1437
14.4%
4 1023
 
10.3%
5 852
 
8.6%
9 766
 
7.7%
8 38
 
0.4%
ValueCountFrequency (%)
1 1437
14.4%
2 3362
33.8%
3 2471
24.8%
4 1023
 
10.3%
5 852
 
8.6%
ValueCountFrequency (%)
9 766
 
7.7%
8 38
 
0.4%
5 852
 
8.6%
4 1023
10.3%
3 2471
24.8%

h4
Real number (ℝ)

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.55683988
Minimum0
Maximum99
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:04.613633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation18.90204233
Coefficient of variation (CV)1.635571879
Kurtosis16.55082799
Mean11.55683988
Median Absolute Deviation (MAD)2
Skewness4.230455048
Sum114979
Variance357.2872042
MonotonicityNot monotonic
2023-03-22T13:08:04.762970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5 1209
12.2%
6 1183
11.9%
8 1068
10.7%
7 1040
10.5%
4 940
9.4%
10 817
8.2%
9 757
7.6%
3 552
 
5.5%
11 492
 
4.9%
12 488
 
4.9%
Other values (19) 1403
14.1%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 42
 
0.4%
2 189
 
1.9%
3 552
5.5%
4 940
9.4%
ValueCountFrequency (%)
99 402
4.0%
88 38
 
0.4%
30 1
 
< 0.1%
29 1
 
< 0.1%
26 2
 
< 0.1%

h5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4943210373
Minimum0
Maximum9
Zeros6584
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:04.894986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.084346398
Coefficient of variation (CV)2.193607628
Kurtosis38.80111966
Mean0.4943210373
Median Absolute Deviation (MAD)0
Skewness5.436188108
Sum4918
Variance1.175807111
MonotonicityNot monotonic
2023-03-22T13:08:04.996727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6584
66.2%
1 2575
 
25.9%
2 681
 
6.8%
9 109
 
1.1%
ValueCountFrequency (%)
0 6584
66.2%
1 2575
 
25.9%
2 681
 
6.8%
9 109
 
1.1%
ValueCountFrequency (%)
9 109
 
1.1%
2 681
 
6.8%
1 2575
 
25.9%
0 6584
66.2%

h6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8072168057
Minimum0
Maximum9
Zeros2870
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:05.105838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.00842061
Coefficient of variation (CV)1.249256213
Kurtosis49.26588817
Mean0.8072168057
Median Absolute Deviation (MAD)0
Skewness6.272933492
Sum8031
Variance1.016912126
MonotonicityNot monotonic
2023-03-22T13:08:05.206406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6960
70.0%
0 2870
28.8%
9 119
 
1.2%
ValueCountFrequency (%)
0 2870
28.8%
1 6960
70.0%
9 119
 
1.2%
ValueCountFrequency (%)
9 119
 
1.2%
1 6960
70.0%
0 2870
28.8%

h7
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.521057393
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:05.314829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.481310083
Coefficient of variation (CV)0.5488340154
Kurtosis-1.35743831
Mean4.521057393
Median Absolute Deviation (MAD)1
Skewness0.6150314053
Sum44980
Variance6.156899726
MonotonicityNot monotonic
2023-03-22T13:08:05.426579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 4386
44.1%
8 2989
30.0%
2 1295
 
13.0%
4 727
 
7.3%
1 253
 
2.5%
9 166
 
1.7%
5 133
 
1.3%
ValueCountFrequency (%)
1 253
 
2.5%
2 1295
 
13.0%
3 4386
44.1%
4 727
 
7.3%
5 133
 
1.3%
ValueCountFrequency (%)
9 166
 
1.7%
8 2989
30.0%
5 133
 
1.3%
4 727
 
7.3%
3 4386
44.1%

h8
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6409689416
Minimum0
Maximum9
Zeros5852
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:05.548951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.514224906
Coefficient of variation (CV)2.362399811
Kurtosis23.64074876
Mean0.6409689416
Median Absolute Deviation (MAD)0
Skewness4.780992898
Sum6377
Variance2.292877067
MonotonicityNot monotonic
2023-03-22T13:08:05.649514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5852
58.8%
1 3812
38.3%
9 285
 
2.9%
ValueCountFrequency (%)
0 5852
58.8%
1 3812
38.3%
9 285
 
2.9%
ValueCountFrequency (%)
9 285
 
2.9%
1 3812
38.3%
0 5852
58.8%

h9
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.735953362
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:05.757232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.164714064
Coefficient of variation (CV)0.5517328793
Kurtosis-1.471756219
Mean5.735953362
Median Absolute Deviation (MAD)0
Skewness-0.6684911786
Sum57067
Variance10.01541511
MonotonicityNot monotonic
2023-03-22T13:08:05.872401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 6137
61.7%
1 2330
 
23.4%
2 718
 
7.2%
3 306
 
3.1%
9 291
 
2.9%
4 167
 
1.7%
ValueCountFrequency (%)
1 2330
 
23.4%
2 718
 
7.2%
3 306
 
3.1%
4 167
 
1.7%
8 6137
61.7%
ValueCountFrequency (%)
9 291
 
2.9%
8 6137
61.7%
4 167
 
1.7%
3 306
 
3.1%
2 718
 
7.2%

h10
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.863403357
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:05.997209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8966141221
Coefficient of variation (CV)0.3131288227
Kurtosis18.10248093
Mean2.863403357
Median Absolute Deviation (MAD)0
Skewness2.569300673
Sum28488
Variance0.803916884
MonotonicityNot monotonic
2023-03-22T13:08:06.113315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6128
61.6%
2 2209
 
22.2%
4 1118
 
11.2%
1 404
 
4.1%
9 90
 
0.9%
ValueCountFrequency (%)
1 404
 
4.1%
2 2209
 
22.2%
3 6128
61.6%
4 1118
 
11.2%
9 90
 
0.9%
ValueCountFrequency (%)
9 90
 
0.9%
4 1118
 
11.2%
3 6128
61.6%
2 2209
 
22.2%
1 404
 
4.1%

h11
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.059503468
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:06.239882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9771604659
Coefficient of variation (CV)0.4744641032
Kurtosis18.9566976
Mean2.059503468
Median Absolute Deviation (MAD)0
Skewness3.144008423
Sum20490
Variance0.9548425761
MonotonicityNot monotonic
2023-03-22T13:08:06.349371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5836
58.7%
1 2259
 
22.7%
3 1262
 
12.7%
4 511
 
5.1%
9 81
 
0.8%
ValueCountFrequency (%)
1 2259
 
22.7%
2 5836
58.7%
3 1262
 
12.7%
4 511
 
5.1%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
4 511
 
5.1%
3 1262
 
12.7%
2 5836
58.7%
1 2259
 
22.7%

h12
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7085134184
Minimum0
Maximum9
Zeros6980
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:06.471240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.592310663
Coefficient of variation (CV)2.247396622
Kurtosis16.92986483
Mean0.7085134184
Median Absolute Deviation (MAD)0
Skewness3.847027314
Sum7049
Variance2.535453248
MonotonicityNot monotonic
2023-03-22T13:08:06.572896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6980
70.2%
2 1936
 
19.5%
1 765
 
7.7%
9 268
 
2.7%
ValueCountFrequency (%)
0 6980
70.2%
1 765
 
7.7%
2 1936
 
19.5%
9 268
 
2.7%
ValueCountFrequency (%)
9 268
 
2.7%
2 1936
 
19.5%
1 765
 
7.7%
0 6980
70.2%

h13
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.161222233
Minimum0
Maximum9
Zeros1596
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:06.684062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.645545691
Coefficient of variation (CV)1.417080765
Kurtosis17.75659376
Mean1.161222233
Median Absolute Deviation (MAD)0
Skewness4.290229609
Sum11553
Variance2.707820621
MonotonicityNot monotonic
2023-03-22T13:08:06.789074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7953
79.9%
0 1596
 
16.0%
9 400
 
4.0%
ValueCountFrequency (%)
0 1596
 
16.0%
1 7953
79.9%
9 400
 
4.0%
ValueCountFrequency (%)
9 400
 
4.0%
1 7953
79.9%
0 1596
 
16.0%

h14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1399135592
Minimum0
Maximum9
Zeros9693
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:06.897230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.071491541
Coefficient of variation (CV)7.658239468
Kurtosis63.77874823
Mean0.1399135592
Median Absolute Deviation (MAD)0
Skewness8.075876586
Sum1392
Variance1.148094122
MonotonicityNot monotonic
2023-03-22T13:08:06.997796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9693
97.4%
9 142
 
1.4%
1 114
 
1.1%
ValueCountFrequency (%)
0 9693
97.4%
1 114
 
1.1%
9 142
 
1.4%
ValueCountFrequency (%)
9 142
 
1.4%
1 114
 
1.1%
0 9693
97.4%

h15
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1923811438
Minimum0
Maximum9
Zeros9075
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:07.106011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.04703338
Coefficient of variation (CV)5.442494828
Kurtosis62.49950694
Mean0.1923811438
Median Absolute Deviation (MAD)0
Skewness7.808834895
Sum1914
Variance1.096278899
MonotonicityNot monotonic
2023-03-22T13:08:07.206620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9075
91.2%
1 744
 
7.5%
9 130
 
1.3%
ValueCountFrequency (%)
0 9075
91.2%
1 744
 
7.5%
9 130
 
1.3%
ValueCountFrequency (%)
9 130
 
1.3%
1 744
 
7.5%
0 9075
91.2%

h16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.270780983
Minimum0
Maximum9
Zeros8863
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:07.314821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.285396152
Coefficient of variation (CV)4.746995664
Kurtosis40.01079817
Mean0.270780983
Median Absolute Deviation (MAD)0
Skewness6.337319255
Sum2694
Variance1.652243268
MonotonicityNot monotonic
2023-03-22T13:08:07.415246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8863
89.1%
1 885
 
8.9%
9 201
 
2.0%
ValueCountFrequency (%)
0 8863
89.1%
1 885
 
8.9%
9 201
 
2.0%
ValueCountFrequency (%)
9 201
 
2.0%
1 885
 
8.9%
0 8863
89.1%

h17
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3597346467
Minimum0
Maximum9
Zeros8554
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:07.524091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4853361
Coefficient of variation (CV)4.12897705
Kurtosis28.44708447
Mean0.3597346467
Median Absolute Deviation (MAD)0
Skewness5.399646558
Sum3579
Variance2.206223331
MonotonicityNot monotonic
2023-03-22T13:08:07.624765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8554
86.0%
1 1122
 
11.3%
9 273
 
2.7%
ValueCountFrequency (%)
0 8554
86.0%
1 1122
 
11.3%
9 273
 
2.7%
ValueCountFrequency (%)
9 273
 
2.7%
1 1122
 
11.3%
0 8554
86.0%

h18
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1327771635
Minimum0
Maximum9
Zeros9724
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:07.733183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.052005254
Coefficient of variation (CV)7.923088777
Kurtosis66.55798701
Mean0.1327771635
Median Absolute Deviation (MAD)0
Skewness8.251609796
Sum1321
Variance1.106715055
MonotonicityNot monotonic
2023-03-22T13:08:07.833590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9724
97.7%
9 137
 
1.4%
1 88
 
0.9%
ValueCountFrequency (%)
0 9724
97.7%
1 88
 
0.9%
9 137
 
1.4%
ValueCountFrequency (%)
9 137
 
1.4%
1 88
 
0.9%
0 9724
97.7%

h19
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1571012162
Minimum0
Maximum9
Zeros9338
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:07.941803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9968512348
Coefficient of variation (CV)6.345280189
Kurtosis71.14410543
Mean0.1571012162
Median Absolute Deviation (MAD)0
Skewness8.378248301
Sum1563
Variance0.9937123843
MonotonicityNot monotonic
2023-03-22T13:08:08.042503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9338
93.9%
1 492
 
4.9%
9 119
 
1.2%
ValueCountFrequency (%)
0 9338
93.9%
1 492
 
4.9%
9 119
 
1.2%
ValueCountFrequency (%)
9 119
 
1.2%
1 492
 
4.9%
0 9338
93.9%

h20
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1154889939
Minimum0
Maximum9
Zeros9560
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:08.150957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8886714504
Coefficient of variation (CV)7.694858364
Kurtosis92.48785103
Mean0.1154889939
Median Absolute Deviation (MAD)0
Skewness9.571511795
Sum1149
Variance0.7897369467
MonotonicityNot monotonic
2023-03-22T13:08:08.251647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9560
96.1%
1 294
 
3.0%
9 95
 
1.0%
ValueCountFrequency (%)
0 9560
96.1%
1 294
 
3.0%
9 95
 
1.0%
ValueCountFrequency (%)
9 95
 
1.0%
1 294
 
3.0%
0 9560
96.1%

h21
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1223238516
Minimum0
Maximum9
Zeros9420
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:08.359781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8542881188
Coefficient of variation (CV)6.98382292
Kurtosis97.92896523
Mean0.1223238516
Median Absolute Deviation (MAD)0
Skewness9.749161663
Sum1217
Variance0.7298081898
MonotonicityNot monotonic
2023-03-22T13:08:08.460691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9420
94.7%
1 443
 
4.5%
9 86
 
0.9%
ValueCountFrequency (%)
0 9420
94.7%
1 443
 
4.5%
9 86
 
0.9%
ValueCountFrequency (%)
9 86
 
0.9%
1 443
 
4.5%
0 9420
94.7%

h22
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09428083224
Minimum0
Maximum9
Zeros9771
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:08.568755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8791904986
Coefficient of variation (CV)9.325230565
Kurtosis97.60766092
Mean0.09428083224
Median Absolute Deviation (MAD)0
Skewness9.935258324
Sum938
Variance0.7729759328
MonotonicityNot monotonic
2023-03-22T13:08:08.669038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9771
98.2%
9 95
 
1.0%
1 83
 
0.8%
ValueCountFrequency (%)
0 9771
98.2%
1 83
 
0.8%
9 95
 
1.0%
ValueCountFrequency (%)
9 95
 
1.0%
1 83
 
0.8%
0 9771
98.2%

h23
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.255603578
Minimum0
Maximum9
Zeros3361
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:08.777503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.240626279
Coefficient of variation (CV)1.784501349
Kurtosis7.626413642
Mean1.255603578
Median Absolute Deviation (MAD)0
Skewness3.003474403
Sum12492
Variance5.020406122
MonotonicityNot monotonic
2023-03-22T13:08:08.875727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5850
58.8%
0 3361
33.8%
9 738
 
7.4%
ValueCountFrequency (%)
0 3361
33.8%
1 5850
58.8%
9 738
 
7.4%
ValueCountFrequency (%)
9 738
 
7.4%
1 5850
58.8%
0 3361
33.8%

h24
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3786310182
Minimum0
Maximum9
Zeros7390
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:08.981358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.152465276
Coefficient of variation (CV)3.043768789
Kurtosis44.5942244
Mean0.3786310182
Median Absolute Deviation (MAD)0
Skewness6.36744776
Sum3767
Variance1.328176212
MonotonicityNot monotonic
2023-03-22T13:08:09.081617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7390
74.3%
1 2408
 
24.2%
9 151
 
1.5%
ValueCountFrequency (%)
0 7390
74.3%
1 2408
 
24.2%
9 151
 
1.5%
ValueCountFrequency (%)
9 151
 
1.5%
1 2408
 
24.2%
0 7390
74.3%

h25
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.315207559
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:09.187534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9195367083
Coefficient of variation (CV)0.6991571044
Kurtosis42.36043341
Mean1.315207559
Median Absolute Deviation (MAD)0
Skewness5.720616253
Sum13085
Variance0.845547758
MonotonicityNot monotonic
2023-03-22T13:08:09.298870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 8034
80.8%
2 1240
 
12.5%
3 584
 
5.9%
9 91
 
0.9%
ValueCountFrequency (%)
1 8034
80.8%
2 1240
 
12.5%
3 584
 
5.9%
9 91
 
0.9%
ValueCountFrequency (%)
9 91
 
0.9%
3 584
 
5.9%
2 1240
 
12.5%
1 8034
80.8%

h26
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07930445271
Minimum0
Maximum2
Zeros9342
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:09.420016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3310783375
Coefficient of variation (CV)4.174776147
Kurtosis20.29396769
Mean0.07930445271
Median Absolute Deviation (MAD)0
Skewness4.478829881
Sum789
Variance0.1096128656
MonotonicityNot monotonic
2023-03-22T13:08:09.531546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9342
93.9%
1 425
 
4.3%
2 182
 
1.8%
ValueCountFrequency (%)
0 9342
93.9%
1 425
 
4.3%
2 182
 
1.8%
ValueCountFrequency (%)
2 182
 
1.8%
1 425
 
4.3%
0 9342
93.9%

i0_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8677253995
Minimum0
Maximum9
Zeros1772
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:09.654137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7261782175
Coefficient of variation (CV)0.8368756036
Kurtosis87.53631375
Mean0.8677253995
Median Absolute Deviation (MAD)0
Skewness7.74979448
Sum8633
Variance0.5273348036
MonotonicityNot monotonic
2023-03-22T13:08:09.755133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 8120
81.6%
0 1772
 
17.8%
9 57
 
0.6%
ValueCountFrequency (%)
0 1772
 
17.8%
1 8120
81.6%
9 57
 
0.6%
ValueCountFrequency (%)
9 57
 
0.6%
1 8120
81.6%
0 1772
 
17.8%

i0_2
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.300231179
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:09.864811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.684152627
Coefficient of variation (CV)0.2306985335
Kurtosis3.302934712
Mean7.300231179
Median Absolute Deviation (MAD)0
Skewness-2.172606908
Sum72630
Variance2.836370071
MonotonicityNot monotonic
2023-03-22T13:08:09.981190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 8177
82.2%
3 686
 
6.9%
4 348
 
3.5%
5 290
 
2.9%
7 163
 
1.6%
1 113
 
1.1%
9 76
 
0.8%
2 50
 
0.5%
6 46
 
0.5%
ValueCountFrequency (%)
1 113
 
1.1%
2 50
 
0.5%
3 686
6.9%
4 348
3.5%
5 290
2.9%
ValueCountFrequency (%)
9 76
 
0.8%
8 8177
82.2%
7 163
 
1.6%
6 46
 
0.5%
5 290
 
2.9%

i0_3
Real number (ℝ)

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.3761182
Minimum5
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:10.138396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q113
median17
Q335
95-th percentile888
Maximum999
Range994
Interquartile range (IQR)22

Descriptive statistics

Standard deviation372.8596493
Coefficient of variation (CV)1.72320149
Kurtosis-0.2084124554
Mean216.3761182
Median Absolute Deviation (MAD)5
Skewness1.330607637
Sum2152726
Variance139024.3181
MonotonicityNot monotonic
2023-03-22T13:08:10.316243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1829
18.4%
15 864
 
8.7%
12 768
 
7.7%
14 740
 
7.4%
18 687
 
6.9%
10 551
 
5.5%
16 550
 
5.5%
13 487
 
4.9%
999 405
 
4.1%
17 405
 
4.1%
Other values (50) 2663
26.8%
ValueCountFrequency (%)
5 25
 
0.3%
6 53
 
0.5%
7 243
2.4%
8 332
3.3%
9 167
1.7%
ValueCountFrequency (%)
999 405
 
4.1%
888 1829
18.4%
68 1
 
< 0.1%
65 2
 
< 0.1%
62 1
 
< 0.1%

i0_5
Real number (ℝ)

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1953.917479
Minimum13
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:10.484782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile35
Q156
median888
Q3888
95-th percentile8888
Maximum8888
Range8875
Interquartile range (IQR)832

Descriptive statistics

Standard deviation3312.83339
Coefficient of variation (CV)1.695482755
Kurtosis0.5867917354
Mean1953.917479
Median Absolute Deviation (MAD)828
Skewness1.582955187
Sum19439525
Variance10974865.07
MonotonicityNot monotonic
2023-03-22T13:08:10.646653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 2606
26.2%
8888 1829
18.4%
60 636
 
6.4%
999 608
 
6.1%
65 412
 
4.1%
55 378
 
3.8%
50 286
 
2.9%
58 164
 
1.6%
56 149
 
1.5%
62 129
 
1.3%
Other values (67) 2752
27.7%
ValueCountFrequency (%)
13 2
 
< 0.1%
14 5
 
0.1%
15 3
 
< 0.1%
16 14
0.1%
17 22
0.2%
ValueCountFrequency (%)
8888 1829
18.4%
999 608
 
6.1%
888 2606
26.2%
87 1
 
< 0.1%
86 2
 
< 0.1%

i0_7
Real number (ℝ)

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.0105538
Minimum1
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:10.816683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q151
median62
Q399
95-th percentile888
Maximum888
Range887
Interquartile range (IQR)48

Descriptive statistics

Standard deviation321.9223537
Coefficient of variation (CV)1.52562205
Kurtosis0.6432073886
Mean211.0105538
Median Absolute Deviation (MAD)17
Skewness1.61819719
Sum2099344
Variance103634.0018
MonotonicityNot monotonic
2023-03-22T13:08:10.982929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 2598
26.1%
888 1829
18.4%
99 1062
10.7%
62 1015
 
10.2%
42 502
 
5.0%
52 349
 
3.5%
23 318
 
3.2%
61 272
 
2.7%
71 183
 
1.8%
76 138
 
1.4%
Other values (40) 1683
16.9%
ValueCountFrequency (%)
1 33
0.3%
2 40
0.4%
3 7
 
0.1%
11 24
0.2%
12 10
 
0.1%
ValueCountFrequency (%)
888 1829
18.4%
99 1062
10.7%
95 11
 
0.1%
91 86
 
0.9%
87 59
 
0.6%

i0_8
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.556739371
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:12.262625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.576907529
Coefficient of variation (CV)0.7245140171
Kurtosis-0.824949405
Mean3.556739371
Median Absolute Deviation (MAD)2
Skewness0.742380001
Sum35386
Variance6.640452415
MonotonicityNot monotonic
2023-03-22T13:08:12.382126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 3194
32.1%
3 2471
24.8%
8 1829
18.4%
5 859
 
8.6%
2 773
 
7.8%
4 482
 
4.8%
6 195
 
2.0%
9 93
 
0.9%
7 53
 
0.5%
ValueCountFrequency (%)
1 3194
32.1%
2 773
 
7.8%
3 2471
24.8%
4 482
 
4.8%
5 859
 
8.6%
ValueCountFrequency (%)
9 93
 
0.9%
8 1829
18.4%
7 53
 
0.5%
6 195
 
2.0%
5 859
8.6%

i0_9
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.643280732
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:12.510332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.360439161
Coefficient of variation (CV)0.6478883552
Kurtosis-0.3004407897
Mean3.643280732
Median Absolute Deviation (MAD)1
Skewness1.008336612
Sum36247
Variance5.571673031
MonotonicityNot monotonic
2023-03-22T13:08:12.621789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2777
27.9%
3 2026
20.4%
4 1926
19.4%
8 1829
18.4%
1 1280
12.9%
9 111
 
1.1%
ValueCountFrequency (%)
1 1280
12.9%
2 2777
27.9%
3 2026
20.4%
4 1926
19.4%
8 1829
18.4%
ValueCountFrequency (%)
9 111
 
1.1%
8 1829
18.4%
4 1926
19.4%
3 2026
20.4%
2 2777
27.9%

i0_10
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.897778671
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:12.744132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.273760768
Coefficient of variation (CV)0.5833478397
Kurtosis-0.3046107845
Mean3.897778671
Median Absolute Deviation (MAD)1
Skewness0.9114536107
Sum38779
Variance5.169988029
MonotonicityNot monotonic
2023-03-22T13:08:12.858964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2898
29.1%
4 2559
25.7%
8 1829
18.4%
2 1386
13.9%
1 1131
 
11.4%
9 146
 
1.5%
ValueCountFrequency (%)
1 1131
 
11.4%
2 1386
13.9%
3 2898
29.1%
4 2559
25.7%
8 1829
18.4%
ValueCountFrequency (%)
9 146
 
1.5%
8 1829
18.4%
4 2559
25.7%
3 2898
29.1%
2 1386
13.9%

i0_11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.736556438
Minimum0
Maximum9
Zeros5995
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:12.986226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.080127401
Coefficient of variation (CV)1.773698415
Kurtosis0.4085800327
Mean1.736556438
Median Absolute Deviation (MAD)0
Skewness1.521167205
Sum17277
Variance9.487184803
MonotonicityNot monotonic
2023-03-22T13:08:13.085629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5995
60.3%
1 2060
 
20.7%
8 1829
 
18.4%
9 65
 
0.7%
ValueCountFrequency (%)
0 5995
60.3%
1 2060
 
20.7%
8 1829
 
18.4%
9 65
 
0.7%
ValueCountFrequency (%)
9 65
 
0.7%
8 1829
 
18.4%
1 2060
 
20.7%
0 5995
60.3%

i0_12
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.128455121
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:13.191392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.459806252
Coefficient of variation (CV)0.7862686716
Kurtosis0.2465885476
Mean3.128455121
Median Absolute Deviation (MAD)0
Skewness1.422903273
Sum31125
Variance6.050646799
MonotonicityNot monotonic
2023-03-22T13:08:13.308636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 6035
60.7%
8 1829
 
18.4%
1 1248
 
12.5%
3 663
 
6.7%
9 98
 
1.0%
4 76
 
0.8%
ValueCountFrequency (%)
1 1248
 
12.5%
2 6035
60.7%
3 663
 
6.7%
4 76
 
0.8%
8 1829
 
18.4%
ValueCountFrequency (%)
9 98
 
1.0%
8 1829
 
18.4%
4 76
 
0.8%
3 663
 
6.7%
2 6035
60.7%

i0_13
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.761182028
Minimum0
Maximum9
Zeros5526
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:13.437826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.036941971
Coefficient of variation (CV)1.724377107
Kurtosis0.4595522776
Mean1.761182028
Median Absolute Deviation (MAD)0
Skewness1.532244574
Sum17522
Variance9.223016536
MonotonicityNot monotonic
2023-03-22T13:08:13.537202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5526
55.5%
1 2557
25.7%
8 1829
 
18.4%
9 37
 
0.4%
ValueCountFrequency (%)
0 5526
55.5%
1 2557
25.7%
8 1829
 
18.4%
9 37
 
0.4%
ValueCountFrequency (%)
9 37
 
0.4%
8 1829
 
18.4%
1 2557
25.7%
0 5526
55.5%

i0_14
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.60810132
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:13.651711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q112
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)76

Descriptive statistics

Standard deviation33.62333786
Coefficient of variation (CV)0.4900782446
Kurtosis-0.6660126856
Mean68.60810132
Median Absolute Deviation (MAD)0
Skewness-1.148954658
Sum682582
Variance1130.528849
MonotonicityNot monotonic
2023-03-22T13:08:13.781437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 7392
74.3%
12 1896
 
19.1%
6 122
 
1.2%
8 85
 
0.9%
10 81
 
0.8%
3 57
 
0.6%
99 54
 
0.5%
11 48
 
0.5%
9 47
 
0.5%
5 42
 
0.4%
Other values (4) 125
 
1.3%
ValueCountFrequency (%)
1 32
0.3%
2 27
0.3%
3 57
0.6%
4 38
0.4%
5 42
0.4%
ValueCountFrequency (%)
99 54
 
0.5%
88 7392
74.3%
12 1896
 
19.1%
11 48
 
0.5%
10 81
 
0.8%

i0_15
Real number (ℝ)

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.5971454
Minimum1
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:13.937846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42
Q199
median888
Q3888
95-th percentile888
Maximum888
Range887
Interquartile range (IQR)789

Descriptive statistics

Standard deviation363.023998
Coefficient of variation (CV)0.5381345007
Kurtosis-0.7514616726
Mean674.5971454
Median Absolute Deviation (MAD)0
Skewness-1.115376696
Sum6711567
Variance131786.4231
MonotonicityNot monotonic
2023-03-22T13:08:14.102227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
888 7392
74.3%
51 906
 
9.1%
99 348
 
3.5%
52 237
 
2.4%
42 194
 
1.9%
62 141
 
1.4%
23 104
 
1.0%
71 73
 
0.7%
79 53
 
0.5%
61 52
 
0.5%
Other values (39) 449
 
4.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 4
< 0.1%
3 1
 
< 0.1%
11 6
0.1%
12 3
< 0.1%
ValueCountFrequency (%)
888 7392
74.3%
99 348
 
3.5%
95 2
 
< 0.1%
91 25
 
0.3%
87 12
 
0.1%

i0_16
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.46959493
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:14.246697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)82

Descriptive statistics

Standard deviation36.90323044
Coefficient of variation (CV)0.5551896394
Kurtosis-0.7258067734
Mean66.46959493
Median Absolute Deviation (MAD)0
Skewness-1.12711438
Sum661306
Variance1361.848417
MonotonicityNot monotonic
2023-03-22T13:08:14.371315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
88 7392
74.3%
5 764
 
7.7%
3 677
 
6.8%
1 548
 
5.5%
4 276
 
2.8%
2 154
 
1.5%
6 88
 
0.9%
99 23
 
0.2%
7 22
 
0.2%
8 5
 
0.1%
ValueCountFrequency (%)
1 548
5.5%
2 154
 
1.5%
3 677
6.8%
4 276
 
2.8%
5 764
7.7%
ValueCountFrequency (%)
99 23
 
0.2%
88 7392
74.3%
8 5
 
0.1%
7 22
 
0.2%
6 88
 
0.9%

i0_17
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.578751633
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:14.492839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.492561271
Coefficient of variation (CV)0.3788805856
Kurtosis-0.2414033312
Mean6.578751633
Median Absolute Deviation (MAD)0
Skewness-1.257271078
Sum65452
Variance6.21286169
MonotonicityNot monotonic
2023-03-22T13:08:14.610059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 7392
74.3%
2 929
 
9.3%
3 692
 
7.0%
1 504
 
5.1%
4 402
 
4.0%
9 30
 
0.3%
ValueCountFrequency (%)
1 504
 
5.1%
2 929
 
9.3%
3 692
 
7.0%
4 402
 
4.0%
8 7392
74.3%
ValueCountFrequency (%)
9 30
 
0.3%
8 7392
74.3%
4 402
 
4.0%
3 692
 
7.0%
2 929
 
9.3%

i0_18
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.393607398
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:14.739738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.856306615
Coefficient of variation (CV)0.4467441363
Kurtosis-0.3590429258
Mean6.393607398
Median Absolute Deviation (MAD)0
Skewness-1.249044992
Sum63610
Variance8.158487478
MonotonicityNot monotonic
2023-03-22T13:08:14.859106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 7392
74.3%
1 1874
 
18.8%
2 232
 
2.3%
4 188
 
1.9%
3 129
 
1.3%
9 71
 
0.7%
6 43
 
0.4%
5 20
 
0.2%
ValueCountFrequency (%)
1 1874
18.8%
2 232
 
2.3%
3 129
 
1.3%
4 188
 
1.9%
5 20
 
0.2%
ValueCountFrequency (%)
9 71
 
0.7%
8 7392
74.3%
6 43
 
0.4%
5 20
 
0.2%
4 188
 
1.9%

i0_19
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.993165142
Minimum0
Maximum9
Zeros2163
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:14.990203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.430825037
Coefficient of variation (CV)0.5724562824
Kurtosis-0.7148852753
Mean5.993165142
Median Absolute Deviation (MAD)0
Skewness-1.12809858
Sum59626
Variance11.77056044
MonotonicityNot monotonic
2023-03-22T13:08:15.096308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7392
74.3%
0 2163
 
21.7%
1 382
 
3.8%
9 12
 
0.1%
ValueCountFrequency (%)
0 2163
 
21.7%
1 382
 
3.8%
8 7392
74.3%
9 12
 
0.1%
ValueCountFrequency (%)
9 12
 
0.1%
8 7392
74.3%
1 382
 
3.8%
0 2163
 
21.7%

i0_20
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.447884209
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:15.208328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.652737318
Coefficient of variation (CV)0.4114120588
Kurtosis-0.6336914265
Mean6.447884209
Median Absolute Deviation (MAD)0
Skewness-1.146778713
Sum64150
Variance7.037015276
MonotonicityNot monotonic
2023-03-22T13:08:15.321843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
2 1882
 
18.9%
1 395
 
4.0%
3 265
 
2.7%
4 15
 
0.2%
ValueCountFrequency (%)
1 395
 
4.0%
2 1882
 
18.9%
3 265
 
2.7%
4 15
 
0.2%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 15
 
0.2%
3 265
 
2.7%
2 1882
 
18.9%
1 395
 
4.0%

i0_21
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.568398834
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:15.445416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.459006582
Coefficient of variation (CV)0.3743692556
Kurtosis-0.5012991018
Mean6.568398834
Median Absolute Deviation (MAD)0
Skewness-1.181058331
Sum65349
Variance6.046713369
MonotonicityNot monotonic
2023-03-22T13:08:15.558728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
2 1151
 
11.6%
3 1116
 
11.2%
1 199
 
2.0%
4 91
 
0.9%
ValueCountFrequency (%)
1 199
 
2.0%
2 1151
 
11.6%
3 1116
 
11.2%
4 91
 
0.9%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 91
 
0.9%
3 1116
 
11.2%
2 1151
 
11.6%
1 199
 
2.0%

i0_22
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.638757664
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:15.682963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.336182742
Coefficient of variation (CV)0.3519005905
Kurtosis-0.508628905
Mean6.638757664
Median Absolute Deviation (MAD)0
Skewness-1.177400527
Sum66049
Variance5.457749803
MonotonicityNot monotonic
2023-03-22T13:08:15.796229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
3 1600
 
16.1%
2 724
 
7.3%
4 144
 
1.4%
1 89
 
0.9%
ValueCountFrequency (%)
1 89
 
0.9%
2 724
 
7.3%
3 1600
 
16.1%
4 144
 
1.4%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 144
 
1.4%
3 1600
 
16.1%
2 724
 
7.3%
1 89
 
0.9%

i0_23
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.585586491
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:15.921539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.430505207
Coefficient of variation (CV)0.3690643513
Kurtosis-0.4924565013
Mean6.585586491
Median Absolute Deviation (MAD)0
Skewness-1.183559687
Sum65520
Variance5.907355559
MonotonicityNot monotonic
2023-03-22T13:08:16.034618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
3 1165
 
11.7%
2 1098
 
11.0%
1 161
 
1.6%
4 133
 
1.3%
ValueCountFrequency (%)
1 161
 
1.6%
2 1098
 
11.0%
3 1165
 
11.7%
4 133
 
1.3%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 133
 
1.3%
3 1165
 
11.7%
2 1098
 
11.0%
1 161
 
1.6%

i0_24
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.512614333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:16.158106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.549542618
Coefficient of variation (CV)0.3914775983
Kurtosis-0.56445248
Mean6.512614333
Median Absolute Deviation (MAD)0
Skewness-1.165644238
Sum64794
Variance6.500167561
MonotonicityNot monotonic
2023-03-22T13:08:16.271633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
2 1560
 
15.7%
3 694
 
7.0%
1 252
 
2.5%
4 51
 
0.5%
ValueCountFrequency (%)
1 252
 
2.5%
2 1560
 
15.7%
3 694
 
7.0%
4 51
 
0.5%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 51
 
0.5%
3 694
 
7.0%
2 1560
 
15.7%
1 252
 
2.5%

i0_25
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.535832747
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:16.394760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.509741287
Coefficient of variation (CV)0.3839971714
Kurtosis-0.5675941779
Mean6.535832747
Median Absolute Deviation (MAD)0
Skewness-1.165173692
Sum65025
Variance6.298801329
MonotonicityNot monotonic
2023-03-22T13:08:16.508029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
2 1539
 
15.5%
3 787
 
7.9%
1 158
 
1.6%
4 73
 
0.7%
ValueCountFrequency (%)
1 158
 
1.6%
2 1539
 
15.5%
3 787
 
7.9%
4 73
 
0.7%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 73
 
0.7%
3 787
 
7.9%
2 1539
 
15.5%
1 158
 
1.6%

i0_26
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.588400844
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:16.631501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.424648538
Coefficient of variation (CV)0.3680177626
Kurtosis-0.5134846153
Mean6.588400844
Median Absolute Deviation (MAD)0
Skewness-1.179233444
Sum65548
Variance5.878920533
MonotonicityNot monotonic
2023-03-22T13:08:16.744649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
2 1211
 
12.2%
3 1079
 
10.8%
4 162
 
1.6%
1 105
 
1.1%
ValueCountFrequency (%)
1 105
 
1.1%
2 1211
 
12.2%
3 1079
 
10.8%
4 162
 
1.6%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 162
 
1.6%
3 1079
 
10.8%
2 1211
 
12.2%
1 105
 
1.1%

i0_27
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.525781486
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:16.869242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.525993478
Coefficient of variation (CV)0.3870790775
Kurtosis-0.5783661818
Mean6.525781486
Median Absolute Deviation (MAD)0
Skewness-1.16242965
Sum64925
Variance6.380643049
MonotonicityNot monotonic
2023-03-22T13:08:16.982369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7392
74.3%
2 1613
 
16.2%
3 709
 
7.1%
1 168
 
1.7%
4 67
 
0.7%
ValueCountFrequency (%)
1 168
 
1.7%
2 1613
 
16.2%
3 709
 
7.1%
4 67
 
0.7%
8 7392
74.3%
ValueCountFrequency (%)
8 7392
74.3%
4 67
 
0.7%
3 709
 
7.1%
2 1613
 
16.2%
1 168
 
1.7%

i0_28
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.723992361
Minimum0
Maximum9
Zeros5888
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:17.108002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.050936086
Coefficient of variation (CV)1.769692346
Kurtosis0.4714412088
Mean1.723992361
Median Absolute Deviation (MAD)0
Skewness1.540054176
Sum17152
Variance9.308211
MonotonicityNot monotonic
2023-03-22T13:08:17.207846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5888
59.2%
1 2196
 
22.1%
8 1829
 
18.4%
9 36
 
0.4%
ValueCountFrequency (%)
0 5888
59.2%
1 2196
 
22.1%
8 1829
 
18.4%
9 36
 
0.4%
ValueCountFrequency (%)
9 36
 
0.4%
8 1829
 
18.4%
1 2196
 
22.1%
0 5888
59.2%

i0_29
Real number (ℝ)

Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean706.7543472
Minimum0
Maximum999
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:17.348230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation348.0580761
Coefficient of variation (CV)0.4924739091
Kurtosis-0.04372214972
Mean706.7543472
Median Absolute Deviation (MAD)0
Skewness-1.392465895
Sum7031499
Variance121144.4244
MonotonicityNot monotonic
2023-03-22T13:08:17.518171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 7753
77.9%
40 450
 
4.5%
30 183
 
1.8%
8 168
 
1.7%
44 131
 
1.3%
20 119
 
1.2%
160 107
 
1.1%
48 83
 
0.8%
6 66
 
0.7%
10 58
 
0.6%
Other values (68) 831
 
8.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 4
 
< 0.1%
2 12
 
0.1%
3 19
0.2%
4 38
0.4%
ValueCountFrequency (%)
999 54
 
0.5%
888 7753
77.9%
160 107
 
1.1%
156 1
 
< 0.1%
150 10
 
0.1%

i0_30
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.695547291
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:17.656656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median6
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.246829092
Coefficient of variation (CV)0.6914697883
Kurtosis-1.855907702
Mean4.695547291
Median Absolute Deviation (MAD)2
Skewness-0.1397989201
Sum46716
Variance10.54189915
MonotonicityNot monotonic
2023-03-22T13:08:17.771208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 4061
40.8%
1 3978
40.0%
7 600
 
6.0%
5 533
 
5.4%
6 329
 
3.3%
3 260
 
2.6%
2 143
 
1.4%
9 33
 
0.3%
4 12
 
0.1%
ValueCountFrequency (%)
1 3978
40.0%
2 143
 
1.4%
3 260
 
2.6%
4 12
 
0.1%
5 533
 
5.4%
ValueCountFrequency (%)
9 33
 
0.3%
8 4061
40.8%
7 600
 
6.0%
6 329
 
3.3%
5 533
 
5.4%

i0_31
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.147452005
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:17.894169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.218601962
Coefficient of variation (CV)0.3871709435
Kurtosis2.618013519
Mean3.147452005
Median Absolute Deviation (MAD)1
Skewness0.9170987422
Sum31314
Variance1.484990743
MonotonicityNot monotonic
2023-03-22T13:08:18.011129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3024
30.4%
3 2807
28.2%
4 2345
23.6%
5 1265
12.7%
1 429
 
4.3%
9 79
 
0.8%
ValueCountFrequency (%)
1 429
 
4.3%
2 3024
30.4%
3 2807
28.2%
4 2345
23.6%
5 1265
12.7%
ValueCountFrequency (%)
9 79
 
0.8%
5 1265
12.7%
4 2345
23.6%
3 2807
28.2%
2 3024
30.4%

i0_31_1
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.92079606
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:18.145777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation17.58106501
Coefficient of variation (CV)1.970795531
Kurtosis21.75321415
Mean8.92079606
Median Absolute Deviation (MAD)2
Skewness4.807613117
Sum88753
Variance309.0938467
MonotonicityNot monotonic
2023-03-22T13:08:18.265507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8 1421
14.3%
5 1317
13.2%
7 1192
12.0%
1 1015
10.2%
6 972
9.8%
4 858
8.6%
3 804
8.1%
10 750
7.5%
2 635
6.4%
9 628
6.3%
ValueCountFrequency (%)
1 1015
10.2%
2 635
6.4%
3 804
8.1%
4 858
8.6%
5 1317
13.2%
ValueCountFrequency (%)
99 357
 
3.6%
10 750
7.5%
9 628
6.3%
8 1421
14.3%
7 1192
12.0%

i0_32
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6238817972
Minimum0
Maximum9
Zeros4198
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:18.379877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8045011644
Coefficient of variation (CV)1.289508955
Kurtosis64.54900497
Mean0.6238817972
Median Absolute Deviation (MAD)0
Skewness6.329728042
Sum6207
Variance0.6472221235
MonotonicityNot monotonic
2023-03-22T13:08:18.480425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5694
57.2%
0 4198
42.2%
9 57
 
0.6%
ValueCountFrequency (%)
0 4198
42.2%
1 5694
57.2%
9 57
 
0.6%
ValueCountFrequency (%)
9 57
 
0.6%
1 5694
57.2%
0 4198
42.2%

i17_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.896270982
Minimum0
Maximum9
Zeros1098
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:18.589833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.575271249
Coefficient of variation (CV)0.9176136016
Kurtosis-1.897207868
Mean3.896270982
Median Absolute Deviation (MAD)1
Skewness0.2639350152
Sum38764
Variance12.7825645
MonotonicityNot monotonic
2023-03-22T13:08:18.693121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4580
46.0%
8 4255
42.8%
0 1098
 
11.0%
9 16
 
0.2%
ValueCountFrequency (%)
0 1098
 
11.0%
1 4580
46.0%
8 4255
42.8%
9 16
 
0.2%
ValueCountFrequency (%)
9 16
 
0.2%
8 4255
42.8%
1 4580
46.0%
0 1098
 
11.0%

i17_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.558548598
Minimum0
Maximum9
Zeros4530
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:18.802815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.876578313
Coefficient of variation (CV)1.089370626
Kurtosis-1.908421668
Mean3.558548598
Median Absolute Deviation (MAD)1
Skewness0.2651183036
Sum35404
Variance15.02785941
MonotonicityNot monotonic
2023-03-22T13:08:18.904509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4530
45.5%
8 4255
42.8%
1 1139
 
11.4%
9 25
 
0.3%
ValueCountFrequency (%)
0 4530
45.5%
1 1139
 
11.4%
8 4255
42.8%
9 25
 
0.3%
ValueCountFrequency (%)
9 25
 
0.3%
8 4255
42.8%
1 1139
 
11.4%
0 4530
45.5%

i17_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.524575334
Minimum0
Maximum9
Zeros5340
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:19.017307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.957469427
Coefficient of variation (CV)1.122821632
Kurtosis-1.927527885
Mean3.524575334
Median Absolute Deviation (MAD)0
Skewness0.2547703412
Sum35066
Variance15.66156427
MonotonicityNot monotonic
2023-03-22T13:08:19.119371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5340
53.7%
8 4255
42.8%
1 270
 
2.7%
9 84
 
0.8%
ValueCountFrequency (%)
0 5340
53.7%
1 270
 
2.7%
8 4255
42.8%
9 84
 
0.8%
ValueCountFrequency (%)
9 84
 
0.8%
8 4255
42.8%
1 270
 
2.7%
0 5340
53.7%

i17_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.548999899
Minimum0
Maximum9
Zeros5145
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:19.228890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.94418949
Coefficient of variation (CV)1.111352381
Kurtosis-1.926483666
Mean3.548999899
Median Absolute Deviation (MAD)0
Skewness0.249392079
Sum35309
Variance15.55663073
MonotonicityNot monotonic
2023-03-22T13:08:19.330613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5145
51.7%
8 4255
42.8%
1 459
 
4.6%
9 90
 
0.9%
ValueCountFrequency (%)
0 5145
51.7%
1 459
 
4.6%
8 4255
42.8%
9 90
 
0.9%
ValueCountFrequency (%)
9 90
 
0.9%
8 4255
42.8%
1 459
 
4.6%
0 5145
51.7%

i17_5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.537038898
Minimum0
Maximum9
Zeros5264
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:19.440137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.953407792
Coefficient of variation (CV)1.117716798
Kurtosis-1.927777628
Mean3.537038898
Median Absolute Deviation (MAD)0
Skewness0.2512811895
Sum35190
Variance15.62943317
MonotonicityNot monotonic
2023-03-22T13:08:19.541790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5264
52.9%
8 4255
42.8%
1 340
 
3.4%
9 90
 
0.9%
ValueCountFrequency (%)
0 5264
52.9%
1 340
 
3.4%
8 4255
42.8%
9 90
 
0.9%
ValueCountFrequency (%)
9 90
 
0.9%
8 4255
42.8%
1 340
 
3.4%
0 5264
52.9%

i17_6
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.478741582
Minimum0
Maximum9
Zeros5420
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:19.651638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.949250256
Coefficient of variation (CV)1.135252551
Kurtosis-1.919577011
Mean3.478741582
Median Absolute Deviation (MAD)0
Skewness0.2737451743
Sum34610
Variance15.59657759
MonotonicityNot monotonic
2023-03-22T13:08:19.753669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5420
54.5%
8 4255
42.8%
1 237
 
2.4%
9 37
 
0.4%
ValueCountFrequency (%)
0 5420
54.5%
1 237
 
2.4%
8 4255
42.8%
9 37
 
0.4%
ValueCountFrequency (%)
9 37
 
0.4%
8 4255
42.8%
1 237
 
2.4%
0 5420
54.5%

i17_7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.506784601
Minimum0
Maximum9
Zeros4981
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:19.863399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.909470012
Coefficient of variation (CV)1.114830381
Kurtosis-1.911296927
Mean3.506784601
Median Absolute Deviation (MAD)0
Skewness0.2743337312
Sum34889
Variance15.28395577
MonotonicityNot monotonic
2023-03-22T13:08:19.965365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4981
50.1%
8 4255
42.8%
1 696
 
7.0%
9 17
 
0.2%
ValueCountFrequency (%)
0 4981
50.1%
1 696
 
7.0%
8 4255
42.8%
9 17
 
0.2%
ValueCountFrequency (%)
9 17
 
0.2%
8 4255
42.8%
1 696
 
7.0%
0 4981
50.1%

i18
Real number (ℝ)

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455.1250377
Minimum16
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:20.107945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile48
Q158
median67
Q3888
95-th percentile888
Maximum999
Range983
Interquartile range (IQR)830

Descriptive statistics

Standard deviation420.5248767
Coefficient of variation (CV)0.923976582
Kurtosis-1.971962684
Mean455.1250377
Median Absolute Deviation (MAD)22
Skewness0.1179621424
Sum4528039
Variance176841.1719
MonotonicityNot monotonic
2023-03-22T13:08:20.278293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 4255
42.8%
60 1108
 
11.1%
55 819
 
8.2%
65 728
 
7.3%
999 448
 
4.5%
50 209
 
2.1%
56 175
 
1.8%
58 165
 
1.7%
62 162
 
1.6%
57 131
 
1.3%
Other values (55) 1749
17.6%
ValueCountFrequency (%)
16 5
0.1%
18 2
 
< 0.1%
19 3
< 0.1%
20 3
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
999 448
 
4.5%
888 4255
42.8%
85 1
 
< 0.1%
81 2
 
< 0.1%
79 2
 
< 0.1%

i19
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.535631722
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:20.415444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.153724934
Coefficient of variation (CV)0.6953220912
Kurtosis-1.842541746
Mean4.535631722
Median Absolute Deviation (MAD)3
Skewness0.09071778343
Sum45125
Variance9.945980956
MonotonicityNot monotonic
2023-03-22T13:08:20.527585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 4255
42.8%
1 2740
27.5%
2 1928
19.4%
4 785
 
7.9%
5 175
 
1.8%
9 46
 
0.5%
3 20
 
0.2%
ValueCountFrequency (%)
1 2740
27.5%
2 1928
19.4%
3 20
 
0.2%
4 785
 
7.9%
5 175
 
1.8%
ValueCountFrequency (%)
9 46
 
0.5%
8 4255
42.8%
5 175
 
1.8%
4 785
 
7.9%
3 20
 
0.2%

i19_1
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.305960398
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:20.648636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.274879356
Coefficient of variation (CV)0.7605456282
Kurtosis-1.862450391
Mean4.305960398
Median Absolute Deviation (MAD)2
Skewness0.1667990161
Sum42840
Variance10.7248348
MonotonicityNot monotonic
2023-03-22T13:08:20.756932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 4255
42.8%
1 4194
42.2%
3 992
 
10.0%
4 307
 
3.1%
2 201
 
2.0%
ValueCountFrequency (%)
1 4194
42.2%
2 201
 
2.0%
3 992
 
10.0%
4 307
 
3.1%
8 4255
42.8%
ValueCountFrequency (%)
8 4255
42.8%
4 307
 
3.1%
3 992
 
10.0%
2 201
 
2.0%
1 4194
42.2%

i20_0
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.111267464
Minimum0
Maximum9
Zeros1073
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:20.875907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q39
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.916817336
Coefficient of variation (CV)0.4101684195
Kurtosis1.699242483
Mean7.111267464
Median Absolute Deviation (MAD)0
Skewness-1.869697736
Sum70750
Variance8.507823373
MonotonicityNot monotonic
2023-03-22T13:08:20.975552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 5694
57.2%
9 2752
27.7%
0 1073
 
10.8%
1 430
 
4.3%
ValueCountFrequency (%)
0 1073
 
10.8%
1 430
 
4.3%
8 5694
57.2%
9 2752
27.7%
ValueCountFrequency (%)
9 2752
27.7%
8 5694
57.2%
1 430
 
4.3%
0 1073
 
10.8%

i20
Real number (ℝ)

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean660.8641069
Minimum49
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:21.107520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile60
Q1666
median777
Q3777
95-th percentile999
Maximum999
Range950
Interquartile range (IQR)111

Descriptive statistics

Standard deviation315.0173693
Coefficient of variation (CV)0.4766749562
Kurtosis-0.1203667712
Mean660.8641069
Median Absolute Deviation (MAD)0
Skewness-1.166133843
Sum6574937
Variance99235.94293
MonotonicityNot monotonic
2023-03-22T13:08:21.264022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
777 5694
57.2%
999 1619
 
16.3%
65 736
 
7.4%
666 611
 
6.1%
60 554
 
5.6%
62 151
 
1.5%
55 140
 
1.4%
70 57
 
0.6%
56 43
 
0.4%
63 40
 
0.4%
Other values (32) 304
 
3.1%
ValueCountFrequency (%)
49 1
 
< 0.1%
50 3
< 0.1%
51 4
< 0.1%
52 6
0.1%
53 7
0.1%
ValueCountFrequency (%)
999 1619
 
16.3%
777 5694
57.2%
666 611
 
6.1%
100 1
 
< 0.1%
99 1
 
< 0.1%

i20_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.498341542
Minimum0
Maximum9
Zeros1317
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:21.396780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.536688383
Coefficient of variation (CV)0.6432282091
Kurtosis-1.496063559
Mean5.498341542
Median Absolute Deviation (MAD)0
Skewness-0.6809331148
Sum54703
Variance12.50816472
MonotonicityNot monotonic
2023-03-22T13:08:21.501241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6305
63.4%
1 2085
 
21.0%
0 1317
 
13.2%
9 242
 
2.4%
ValueCountFrequency (%)
0 1317
 
13.2%
1 2085
 
21.0%
8 6305
63.4%
9 242
 
2.4%
ValueCountFrequency (%)
9 242
 
2.4%
8 6305
63.4%
1 2085
 
21.0%
0 1317
 
13.2%

i21
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.372198211
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:21.614033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.645689571
Coefficient of variation (CV)0.4151926043
Kurtosis-0.7437290266
Mean6.372198211
Median Absolute Deviation (MAD)0
Skewness-1.003050828
Sum63397
Variance6.999673304
MonotonicityNot monotonic
2023-03-22T13:08:21.737097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 6305
63.4%
2 962
 
9.7%
3 950
 
9.5%
1 664
 
6.7%
9 521
 
5.2%
5 344
 
3.5%
6 149
 
1.5%
4 54
 
0.5%
ValueCountFrequency (%)
1 664
6.7%
2 962
9.7%
3 950
9.5%
4 54
 
0.5%
5 344
 
3.5%
ValueCountFrequency (%)
9 521
 
5.2%
8 6305
63.4%
6 149
 
1.5%
5 344
 
3.5%
4 54
 
0.5%

i23_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.229168761
Minimum0
Maximum9
Zeros7592
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:21.867556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.941007831
Coefficient of variation (CV)2.392680261
Kurtosis3.071996471
Mean1.229168761
Median Absolute Deviation (MAD)0
Skewness2.232877453
Sum12229
Variance8.649527063
MonotonicityNot monotonic
2023-03-22T13:08:21.965999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7592
76.3%
9 1234
 
12.4%
1 1123
 
11.3%
ValueCountFrequency (%)
0 7592
76.3%
1 1123
 
11.3%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 1123
 
11.3%
0 7592
76.3%

i23_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.132576138
Minimum0
Maximum9
Zeros8553
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:22.071694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.963287836
Coefficient of variation (CV)2.616413798
Kurtosis3.184484331
Mean1.132576138
Median Absolute Deviation (MAD)0
Skewness2.273882782
Sum11268
Variance8.781074796
MonotonicityNot monotonic
2023-03-22T13:08:22.170220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8553
86.0%
9 1234
 
12.4%
1 162
 
1.6%
ValueCountFrequency (%)
0 8553
86.0%
1 162
 
1.6%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 162
 
1.6%
0 8553
86.0%

i23_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.134485878
Minimum0
Maximum9
Zeros8534
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:22.276409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.962879477
Coefficient of variation (CV)2.611649501
Kurtosis3.181989108
Mean1.134485878
Median Absolute Deviation (MAD)0
Skewness2.272995579
Sum11287
Variance8.778654794
MonotonicityNot monotonic
2023-03-22T13:08:22.374695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8534
85.8%
9 1234
 
12.4%
1 181
 
1.8%
ValueCountFrequency (%)
0 8534
85.8%
1 181
 
1.8%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 181
 
1.8%
0 8534
85.8%

i23_4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.124032566
Minimum0
Maximum9
Zeros8638
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:22.480805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.965098953
Coefficient of variation (CV)2.637911963
Kurtosis3.19578225
Mean1.124032566
Median Absolute Deviation (MAD)0
Skewness2.277888971
Sum11183
Variance8.791811803
MonotonicityNot monotonic
2023-03-22T13:08:22.579370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8638
86.8%
9 1234
 
12.4%
1 77
 
0.8%
ValueCountFrequency (%)
0 8638
86.8%
1 77
 
0.8%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 77
 
0.8%
0 8638
86.8%

i23_5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.202432405
Minimum0
Maximum9
Zeros7858
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:22.684997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.94750856
Coefficient of variation (CV)2.451288361
Kurtosis3.100344294
Mean1.202432405
Median Absolute Deviation (MAD)0
Skewness2.243427911
Sum11963
Variance8.687806708
MonotonicityNot monotonic
2023-03-22T13:08:22.783319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7858
79.0%
9 1234
 
12.4%
1 857
 
8.6%
ValueCountFrequency (%)
0 7858
79.0%
1 857
 
8.6%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 857
 
8.6%
0 7858
79.0%

i23_6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.329178812
Minimum0
Maximum9
Zeros6597
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:22.889098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.914388611
Coefficient of variation (CV)2.192623434
Kurtosis2.98471951
Mean1.329178812
Median Absolute Deviation (MAD)0
Skewness2.199069072
Sum13224
Variance8.493660976
MonotonicityNot monotonic
2023-03-22T13:08:22.987312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6597
66.3%
1 2118
 
21.3%
9 1234
 
12.4%
ValueCountFrequency (%)
0 6597
66.3%
1 2118
 
21.3%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 2118
 
21.3%
0 6597
66.3%

i23_7
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.159211981
Minimum0
Maximum9
Zeros8288
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:23.092961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.957475862
Coefficient of variation (CV)2.55128131
Kurtosis3.150675567
Mean1.159211981
Median Absolute Deviation (MAD)0
Skewness2.261783883
Sum11533
Variance8.746663472
MonotonicityNot monotonic
2023-03-22T13:08:23.191162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8288
83.3%
9 1234
 
12.4%
1 427
 
4.3%
ValueCountFrequency (%)
0 8288
83.3%
1 427
 
4.3%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 427
 
4.3%
0 8288
83.3%

i23_8_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.363554126
Minimum0
Maximum9
Zeros6255
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:23.296834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.904387526
Coefficient of variation (CV)2.130012642
Kurtosis2.961543834
Mean1.363554126
Median Absolute Deviation (MAD)0
Skewness2.189594491
Sum13566
Variance8.4354669
MonotonicityNot monotonic
2023-03-22T13:08:23.395065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6255
62.9%
1 2460
 
24.7%
9 1234
 
12.4%
ValueCountFrequency (%)
0 6255
62.9%
1 2460
 
24.7%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 2460
 
24.7%
0 6255
62.9%

i23_8
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.325459845
Minimum0
Maximum9
Zeros6634
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:23.500953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.915444244
Coefficient of variation (CV)2.199571911
Kurtosis2.987436152
Mean1.325459845
Median Absolute Deviation (MAD)0
Skewness2.200161628
Sum13187
Variance8.499815141
MonotonicityNot monotonic
2023-03-22T13:08:23.599186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6634
66.7%
1 2081
 
20.9%
9 1234
 
12.4%
ValueCountFrequency (%)
0 6634
66.7%
1 2081
 
20.9%
9 1234
 
12.4%
ValueCountFrequency (%)
9 1234
 
12.4%
1 2081
 
20.9%
0 6634
66.7%

i25
Real number (ℝ)

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.67192683
Minimum0
Maximum999
Zeros2368
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:23.738991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q328
95-th percentile999
Maximum999
Range999
Interquartile range (IQR)27

Descriptive statistics

Standard deviation248.4884366
Coefficient of variation (CV)3.042519581
Kurtosis9.634129235
Mean81.67192683
Median Absolute Deviation (MAD)8
Skewness3.397630287
Sum812554
Variance61746.50313
MonotonicityNot monotonic
2023-03-22T13:08:23.915325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2368
23.8%
20 731
 
7.3%
999 676
 
6.8%
30 571
 
5.7%
10 480
 
4.8%
5 439
 
4.4%
2 432
 
4.3%
8 407
 
4.1%
4 371
 
3.7%
3 370
 
3.7%
Other values (72) 3104
31.2%
ValueCountFrequency (%)
0 2368
23.8%
1 195
 
2.0%
2 432
 
4.3%
3 370
 
3.7%
4 371
 
3.7%
ValueCountFrequency (%)
999 676
6.8%
160 10
 
0.1%
155 1
 
< 0.1%
150 15
 
0.2%
140 7
 
0.1%

i26
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.38466178
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:24.062867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation22.96114115
Coefficient of variation (CV)2.016848774
Kurtosis10.52686519
Mean11.38466178
Median Absolute Deviation (MAD)2
Skewness3.518130484
Sum113266
Variance527.2140028
MonotonicityNot monotonic
2023-03-22T13:08:24.182595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 2228
22.4%
8 1283
12.9%
6 1279
12.9%
7 1174
11.8%
4 855
 
8.6%
3 742
 
7.5%
99 634
 
6.4%
1 619
 
6.2%
2 506
 
5.1%
9 363
 
3.6%
ValueCountFrequency (%)
1 619
 
6.2%
2 506
 
5.1%
3 742
 
7.5%
4 855
 
8.6%
5 2228
22.4%
ValueCountFrequency (%)
99 634
6.4%
10 266
 
2.7%
9 363
 
3.6%
8 1283
12.9%
7 1174
11.8%

i27
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1137802794
Minimum0
Maximum2
Zeros9146
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:24.297431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4086421566
Coefficient of variation (CV)3.591502487
Kurtosis13.08092802
Mean0.1137802794
Median Absolute Deviation (MAD)0
Skewness3.719329386
Sum1132
Variance0.1669884121
MonotonicityNot monotonic
2023-03-22T13:08:24.408927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9146
91.9%
1 474
 
4.8%
2 329
 
3.3%
ValueCountFrequency (%)
0 9146
91.9%
1 474
 
4.8%
2 329
 
3.3%
ValueCountFrequency (%)
2 329
 
3.3%
1 474
 
4.8%
0 9146
91.9%

k0
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2783194291
Minimum0
Maximum9
Zeros8423
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:24.534553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9355128585
Coefficient of variation (CV)3.361291957
Kurtosis47.19040405
Mean0.2783194291
Median Absolute Deviation (MAD)0
Skewness6.058156826
Sum2769
Variance0.8751843085
MonotonicityNot monotonic
2023-03-22T13:08:24.637966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8423
84.7%
1 1005
 
10.1%
2 254
 
2.6%
3 136
 
1.4%
9 61
 
0.6%
4 51
 
0.5%
5 19
 
0.2%
ValueCountFrequency (%)
0 8423
84.7%
1 1005
 
10.1%
2 254
 
2.6%
3 136
 
1.4%
4 51
 
0.5%
ValueCountFrequency (%)
9 61
 
0.6%
5 19
 
0.2%
4 51
 
0.5%
3 136
1.4%
2 254
2.6%

k0_1
Real number (ℝ)

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean778.5959393
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:24.780250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation289.4529218
Coefficient of variation (CV)0.3717626913
Kurtosis2.874438095
Mean778.5959393
Median Absolute Deviation (MAD)0
Skewness-2.197905657
Sum7746251
Variance83782.99394
MonotonicityNot monotonic
2023-03-22T13:08:24.950019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 8484
85.3%
999 172
 
1.7%
8 141
 
1.4%
24 121
 
1.2%
20 95
 
1.0%
30 86
 
0.9%
40 77
 
0.8%
12 73
 
0.7%
10 73
 
0.7%
5 72
 
0.7%
Other values (50) 555
 
5.6%
ValueCountFrequency (%)
1 9
 
0.1%
2 33
0.3%
3 31
0.3%
4 48
0.5%
5 72
0.7%
ValueCountFrequency (%)
999 172
 
1.7%
888 8484
85.3%
160 21
 
0.2%
156 1
 
< 0.1%
150 27
 
0.3%

k1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1648406875
Minimum0
Maximum9
Zeros8813
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:25.086757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.770488886
Coefficient of variation (CV)4.674142638
Kurtosis106.7116292
Mean0.1648406875
Median Absolute Deviation (MAD)0
Skewness9.679434402
Sum1640
Variance0.5936531235
MonotonicityNot monotonic
2023-03-22T13:08:25.187264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8813
88.6%
1 1073
 
10.8%
9 63
 
0.6%
ValueCountFrequency (%)
0 8813
88.6%
1 1073
 
10.8%
9 63
 
0.6%
ValueCountFrequency (%)
9 63
 
0.6%
1 1073
 
10.8%
0 8813
88.6%

k2_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.211880591
Minimum0
Maximum9
Zeros362
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:25.300422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.278272659
Coefficient of variation (CV)0.3159054882
Kurtosis4.598236004
Mean7.211880591
Median Absolute Deviation (MAD)0
Skewness-2.558213262
Sum71751
Variance5.190526308
MonotonicityNot monotonic
2023-03-22T13:08:25.400018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8876
89.2%
1 707
 
7.1%
0 362
 
3.6%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 362
 
3.6%
1 707
 
7.1%
8 8876
89.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 8876
89.2%
1 707
 
7.1%
0 362
 
3.6%

k2_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.155895065
Minimum0
Maximum9
Zeros919
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:25.507632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.437007077
Coefficient of variation (CV)0.3405593647
Kurtosis4.498138707
Mean7.155895065
Median Absolute Deviation (MAD)0
Skewness-2.54513411
Sum71194
Variance5.939003494
MonotonicityNot monotonic
2023-03-22T13:08:25.607323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8876
89.2%
0 919
 
9.2%
1 150
 
1.5%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 919
 
9.2%
1 150
 
1.5%
8 8876
89.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 8876
89.2%
1 150
 
1.5%
0 919
 
9.2%

k2_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.148457131
Minimum0
Maximum9
Zeros993
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:25.714589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.45722818
Coefficient of variation (CV)0.3437424516
Kurtosis4.46565436
Mean7.148457131
Median Absolute Deviation (MAD)0
Skewness-2.540505949
Sum71120
Variance6.037970327
MonotonicityNot monotonic
2023-03-22T13:08:25.814371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8876
89.2%
0 993
 
10.0%
1 76
 
0.8%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 993
 
10.0%
1 76
 
0.8%
8 8876
89.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 8876
89.2%
1 76
 
0.8%
0 993
 
10.0%

k2_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.163433511
Minimum0
Maximum9
Zeros844
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:25.921489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.416316693
Coefficient of variation (CV)0.3373126433
Kurtosis4.527594995
Mean7.163433511
Median Absolute Deviation (MAD)0
Skewness-2.549266381
Sum71269
Variance5.83858636
MonotonicityNot monotonic
2023-03-22T13:08:26.022819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8876
89.2%
0 844
 
8.5%
1 225
 
2.3%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 844
 
8.5%
1 225
 
2.3%
8 8876
89.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 8876
89.2%
1 225
 
2.3%
0 844
 
8.5%

k3
Real number (ℝ)

Distinct98
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807003.2203
Minimum10
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:26.164972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile400
Q1888888
median888888
Q3888888
95-th percentile888888
Maximum999999
Range999989
Interquartile range (IQR)0

Descriptive statistics

Standard deviation259869.8597
Coefficient of variation (CV)0.3220183676
Kurtosis5.708477169
Mean807003.2203
Median Absolute Deviation (MAD)0
Skewness-2.769549101
Sum8028875039
Variance6.753234397 × 1010
MonotonicityNot monotonic
2023-03-22T13:08:26.342251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888888 8876
89.2%
999999 138
 
1.4%
300 131
 
1.3%
200 111
 
1.1%
500 71
 
0.7%
100 69
 
0.7%
1000 67
 
0.7%
150 43
 
0.4%
600 37
 
0.4%
400 33
 
0.3%
Other values (88) 373
 
3.7%
ValueCountFrequency (%)
10 1
 
< 0.1%
20 4
 
< 0.1%
30 5
 
0.1%
32 1
 
< 0.1%
50 33
0.3%
ValueCountFrequency (%)
999999 138
 
1.4%
888888 8876
89.2%
99996 1
 
< 0.1%
45000 1
 
< 0.1%
40000 1
 
< 0.1%

k4
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.08915469
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:26.503243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.05963206
Coefficient of variation (CV)0.300410613
Kurtosis5.226339309
Mean80.08915469
Median Absolute Deviation (MAD)0
Skewness-2.675890131
Sum796807
Variance578.8658946
MonotonicityNot monotonic
2023-03-22T13:08:26.647235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
88 8876
89.2%
5 144
 
1.4%
6 144
 
1.4%
13 91
 
0.9%
3 81
 
0.8%
8 78
 
0.8%
99 76
 
0.8%
4 67
 
0.7%
2 60
 
0.6%
7 59
 
0.6%
Other values (20) 273
 
2.7%
ValueCountFrequency (%)
1 12
 
0.1%
2 60
0.6%
3 81
0.8%
4 67
0.7%
5 144
1.4%
ValueCountFrequency (%)
99 76
 
0.8%
88 8876
89.2%
40 2
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%

k5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1563976279
Minimum0
Maximum9
Zeros8889
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:26.772414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7620263029
Coefficient of variation (CV)4.872364838
Kurtosis110.2754769
Mean0.1563976279
Median Absolute Deviation (MAD)0
Skewness9.872047396
Sum1556
Variance0.5806840863
MonotonicityNot monotonic
2023-03-22T13:08:26.873104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8889
89.3%
1 998
 
10.0%
9 62
 
0.6%
ValueCountFrequency (%)
0 8889
89.3%
1 998
 
10.0%
9 62
 
0.6%
ValueCountFrequency (%)
9 62
 
0.6%
1 998
 
10.0%
0 8889
89.3%

k6
Real number (ℝ)

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82088.85094
Minimum20
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:27.015720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile600
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99979
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23967.90392
Coefficient of variation (CV)0.2919751422
Kurtosis7.544520071
Mean82088.85094
Median Absolute Deviation (MAD)0
Skewness-3.076487501
Sum816701978
Variance574460418.4
MonotonicityNot monotonic
2023-03-22T13:08:27.187550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 8951
90.0%
99999 203
 
2.0%
300 101
 
1.0%
200 87
 
0.9%
500 86
 
0.9%
100 71
 
0.7%
1000 64
 
0.6%
600 47
 
0.5%
400 34
 
0.3%
150 32
 
0.3%
Other values (62) 273
 
2.7%
ValueCountFrequency (%)
20 1
 
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
40 1
 
< 0.1%
50 11
0.1%
ValueCountFrequency (%)
99999 203
 
2.0%
88888 8951
90.0%
36000 1
 
< 0.1%
20000 1
 
< 0.1%
15000 3
 
< 0.1%

k7
Real number (ℝ)

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.03739069
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:27.346953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.79135643
Coefficient of variation (CV)0.2812449443
Kurtosis6.437030771
Mean81.03739069
Median Absolute Deviation (MAD)0
Skewness-2.890703176
Sum806241
Variance519.4459279
MonotonicityNot monotonic
2023-03-22T13:08:27.486351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
88 8951
90.0%
5 124
 
1.2%
6 121
 
1.2%
99 113
 
1.1%
8 97
 
1.0%
13 90
 
0.9%
3 84
 
0.8%
9 54
 
0.5%
7 47
 
0.5%
4 46
 
0.5%
Other values (15) 222
 
2.2%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 25
 
0.3%
3 84
0.8%
4 46
 
0.5%
5 124
1.2%
ValueCountFrequency (%)
99 113
 
1.1%
88 8951
90.0%
28 1
 
< 0.1%
25 1
 
< 0.1%
24 3
 
< 0.1%

k8
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1032264549
Minimum0
Maximum2
Zeros9256
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:27.609313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3996614006
Coefficient of variation (CV)3.871695496
Kurtosis14.96235237
Mean0.1032264549
Median Absolute Deviation (MAD)0
Skewness3.981517247
Sum1027
Variance0.1597292351
MonotonicityNot monotonic
2023-03-22T13:08:27.721339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9256
93.0%
1 359
 
3.6%
2 334
 
3.4%
ValueCountFrequency (%)
0 9256
93.0%
1 359
 
3.6%
2 334
 
3.4%
ValueCountFrequency (%)
2 334
 
3.4%
1 359
 
3.6%
0 9256
93.0%

l1
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.740074379
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:27.843893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.279726248
Coefficient of variation (CV)0.3421659888
Kurtosis6.559629454
Mean3.740074379
Median Absolute Deviation (MAD)0
Skewness0.6897951745
Sum37210
Variance1.637699271
MonotonicityNot monotonic
2023-03-22T13:08:27.953421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 8198
82.4%
1 1020
 
10.3%
2 319
 
3.2%
9 254
 
2.6%
3 158
 
1.6%
ValueCountFrequency (%)
1 1020
 
10.3%
2 319
 
3.2%
3 158
 
1.6%
4 8198
82.4%
9 254
 
2.6%
ValueCountFrequency (%)
9 254
 
2.6%
4 8198
82.4%
3 158
 
1.6%
2 319
 
3.2%
1 1020
 
10.3%

l2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.335511107
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:28.073623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.516563951
Coefficient of variation (CV)0.4546721334
Kurtosis2.835884133
Mean3.335511107
Median Absolute Deviation (MAD)0
Skewness0.4985198341
Sum33185
Variance2.299966217
MonotonicityNot monotonic
2023-03-22T13:08:28.189820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 6680
67.1%
1 2033
 
20.4%
2 692
 
7.0%
3 308
 
3.1%
9 236
 
2.4%
ValueCountFrequency (%)
1 2033
 
20.4%
2 692
 
7.0%
3 308
 
3.1%
4 6680
67.1%
9 236
 
2.4%
ValueCountFrequency (%)
9 236
 
2.4%
4 6680
67.1%
3 308
 
3.1%
2 692
 
7.0%
1 2033
 
20.4%

l3
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.622374108
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:28.317030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.682900219
Coefficient of variation (CV)0.6417468104
Kurtosis1.859148825
Mean2.622374108
Median Absolute Deviation (MAD)1
Skewness0.9855670465
Sum26090
Variance2.832153149
MonotonicityNot monotonic
2023-03-22T13:08:28.428727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 4330
43.5%
1 4241
42.6%
2 847
 
8.5%
3 324
 
3.3%
9 207
 
2.1%
ValueCountFrequency (%)
1 4241
42.6%
2 847
 
8.5%
3 324
 
3.3%
4 4330
43.5%
9 207
 
2.1%
ValueCountFrequency (%)
9 207
 
2.1%
4 4330
43.5%
3 324
 
3.3%
2 847
 
8.5%
1 4241
42.6%

l5
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.607799779
Minimum0
Maximum9
Zeros4119
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:28.556573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.796610957
Coefficient of variation (CV)1.072402483
Kurtosis-1.004668012
Mean2.607799779
Median Absolute Deviation (MAD)2
Skewness0.6333652277
Sum25945
Variance7.821032845
MonotonicityNot monotonic
2023-03-22T13:08:28.662761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 4119
41.4%
7 1521
 
15.3%
3 1045
 
10.5%
2 864
 
8.7%
5 782
 
7.9%
1 577
 
5.8%
4 494
 
5.0%
6 317
 
3.2%
9 230
 
2.3%
ValueCountFrequency (%)
0 4119
41.4%
1 577
 
5.8%
2 864
 
8.7%
3 1045
 
10.5%
4 494
 
5.0%
ValueCountFrequency (%)
9 230
 
2.3%
7 1521
15.3%
6 317
 
3.2%
5 782
7.9%
4 494
 
5.0%

l6_1
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.59232084
Minimum0
Maximum99
Zeros2241
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:28.780680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)87

Descriptive statistics

Standard deviation43.64599529
Coefficient of variation (CV)1.049376289
Kurtosis-1.966343303
Mean41.59232084
Median Absolute Deviation (MAD)4
Skewness0.1535198721
Sum413802
Variance1904.972904
MonotonicityNot monotonic
2023-03-22T13:08:28.906165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 4349
43.7%
0 2241
22.5%
1 1831
18.4%
2 617
 
6.2%
3 265
 
2.7%
99 251
 
2.5%
4 132
 
1.3%
5 85
 
0.9%
6 56
 
0.6%
8 50
 
0.5%
Other values (4) 72
 
0.7%
ValueCountFrequency (%)
0 2241
22.5%
1 1831
18.4%
2 617
 
6.2%
3 265
 
2.7%
4 132
 
1.3%
ValueCountFrequency (%)
99 251
 
2.5%
88 4349
43.7%
12 9
 
0.1%
10 47
 
0.5%
9 1
 
< 0.1%

l6_2
Real number (ℝ)

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.8382752
Minimum0
Maximum99
Zeros1788
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:29.050127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median40
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.37713929
Coefficient of variation (CV)0.7352165103
Kurtosis-1.709835023
Mean50.8382752
Median Absolute Deviation (MAD)40
Skewness-0.1208924644
Sum505790
Variance1397.050541
MonotonicityNot monotonic
2023-03-22T13:08:29.204928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
88 4349
43.7%
0 1788
18.0%
30 1434
 
14.4%
20 566
 
5.7%
40 404
 
4.1%
99 310
 
3.1%
15 260
 
2.6%
10 251
 
2.5%
50 132
 
1.3%
45 104
 
1.0%
Other values (28) 351
 
3.5%
ValueCountFrequency (%)
0 1788
18.0%
1 77
 
0.8%
2 52
 
0.5%
3 14
 
0.1%
4 10
 
0.1%
ValueCountFrequency (%)
99 310
 
3.1%
88 4349
43.7%
59 3
 
< 0.1%
50 132
 
1.3%
45 104
 
1.0%

l7
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.459543673
Minimum0
Maximum9
Zeros6367
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:29.339896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.424886185
Coefficient of variation (CV)1.661400224
Kurtosis1.567980066
Mean1.459543673
Median Absolute Deviation (MAD)0
Skewness1.632925358
Sum14521
Variance5.880073012
MonotonicityNot monotonic
2023-03-22T13:08:29.450341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 6367
64.0%
2 682
 
6.9%
3 675
 
6.8%
7 582
 
5.8%
1 513
 
5.2%
5 405
 
4.1%
4 308
 
3.1%
9 262
 
2.6%
6 155
 
1.6%
ValueCountFrequency (%)
0 6367
64.0%
1 513
 
5.2%
2 682
 
6.9%
3 675
 
6.8%
4 308
 
3.1%
ValueCountFrequency (%)
9 262
2.6%
7 582
5.8%
6 155
 
1.6%
5 405
4.1%
4 308
3.1%

l8_1
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.83546085
Minimum0
Maximum99
Zeros882
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:29.572628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)86

Descriptive statistics

Standard deviation40.37742332
Coefficient of variation (CV)0.6637152535
Kurtosis-1.370247324
Mean60.83546085
Median Absolute Deviation (MAD)0
Skewness-0.7873742506
Sum605252
Variance1630.336314
MonotonicityNot monotonic
2023-03-22T13:08:29.700580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 6629
66.6%
1 1140
 
11.5%
0 882
 
8.9%
2 607
 
6.1%
3 212
 
2.1%
99 172
 
1.7%
4 99
 
1.0%
5 64
 
0.6%
6 48
 
0.5%
10 42
 
0.4%
Other values (4) 54
 
0.5%
ValueCountFrequency (%)
0 882
8.9%
1 1140
11.5%
2 607
6.1%
3 212
 
2.1%
4 99
 
1.0%
ValueCountFrequency (%)
99 172
 
1.7%
88 6629
66.6%
12 9
 
0.1%
10 42
 
0.4%
9 4
 
< 0.1%

l8_2
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.30395015
Minimum0
Maximum99
Zeros1399
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:29.841899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)58

Descriptive statistics

Standard deviation35.39147041
Coefficient of variation (CV)0.5419499177
Kurtosis-0.8192389576
Mean65.30395015
Median Absolute Deviation (MAD)0
Skewness-0.9887653532
Sum649709
Variance1252.556178
MonotonicityNot monotonic
2023-03-22T13:08:29.991697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
88 6629
66.6%
0 1399
 
14.1%
30 691
 
6.9%
20 255
 
2.6%
99 212
 
2.1%
40 189
 
1.9%
10 108
 
1.1%
50 91
 
0.9%
1 79
 
0.8%
15 71
 
0.7%
Other values (21) 225
 
2.3%
ValueCountFrequency (%)
0 1399
14.1%
1 79
 
0.8%
2 34
 
0.3%
3 17
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
99 212
 
2.1%
88 6629
66.6%
59 1
 
< 0.1%
58 1
 
< 0.1%
55 6
 
0.1%

l9
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6317217811
Minimum0
Maximum9
Zeros8377
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:30.126941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.838706949
Coefficient of variation (CV)2.910627755
Kurtosis10.91340005
Mean0.6317217811
Median Absolute Deviation (MAD)0
Skewness3.366161704
Sum6285
Variance3.380843245
MonotonicityNot monotonic
2023-03-22T13:08:30.233200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8377
84.2%
1 331
 
3.3%
2 327
 
3.3%
3 255
 
2.6%
9 251
 
2.5%
7 159
 
1.6%
4 112
 
1.1%
5 107
 
1.1%
6 30
 
0.3%
ValueCountFrequency (%)
0 8377
84.2%
1 331
 
3.3%
2 327
 
3.3%
3 255
 
2.6%
4 112
 
1.1%
ValueCountFrequency (%)
9 251
2.5%
7 159
1.6%
6 30
 
0.3%
5 107
1.1%
4 112
1.1%

l10_1
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.40647301
Minimum0
Maximum99
Zeros310
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:30.350988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.53780889
Coefficient of variation (CV)0.3686747087
Kurtosis3.230800778
Mean77.40647301
Median Absolute Deviation (MAD)0
Skewness-2.282659534
Sum770117
Variance814.4065363
MonotonicityNot monotonic
2023-03-22T13:08:30.475199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 8628
86.7%
1 514
 
5.2%
0 310
 
3.1%
2 226
 
2.3%
99 91
 
0.9%
3 71
 
0.7%
4 39
 
0.4%
5 17
 
0.2%
8 16
 
0.2%
6 15
 
0.2%
Other values (4) 22
 
0.2%
ValueCountFrequency (%)
0 310
3.1%
1 514
5.2%
2 226
2.3%
3 71
 
0.7%
4 39
 
0.4%
ValueCountFrequency (%)
99 91
 
0.9%
88 8628
86.7%
12 1
 
< 0.1%
10 13
 
0.1%
9 4
 
< 0.1%

l10_2
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.04945221
Minimum0
Maximum99
Zeros534
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:30.608817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.9118665
Coefficient of variation (CV)0.3151428101
Kurtosis4.513901863
Mean79.04945221
Median Absolute Deviation (MAD)0
Skewness-2.488400873
Sum786463
Variance620.6010926
MonotonicityNot monotonic
2023-03-22T13:08:30.749109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88 8628
86.7%
0 534
 
5.4%
30 285
 
2.9%
99 100
 
1.0%
20 99
 
1.0%
40 70
 
0.7%
10 53
 
0.5%
1 37
 
0.4%
50 34
 
0.3%
15 27
 
0.3%
Other values (17) 82
 
0.8%
ValueCountFrequency (%)
0 534
5.4%
1 37
 
0.4%
2 20
 
0.2%
3 7
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
99 100
 
1.0%
88 8628
86.7%
59 1
 
< 0.1%
55 1
 
< 0.1%
50 34
 
0.3%

l11_1
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.75806614
Minimum0
Maximum99
Zeros492
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:30.888191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation24.98559027
Coefficient of variation (CV)2.322498296
Kurtosis8.46298647
Mean10.75806614
Median Absolute Deviation (MAD)2
Skewness3.21502927
Sum107032
Variance624.2797211
MonotonicityNot monotonic
2023-03-22T13:08:31.027457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 1925
19.3%
3 1659
16.7%
4 1534
15.4%
5 1046
10.5%
1 806
8.1%
6 751
 
7.5%
99 732
 
7.4%
0 492
 
4.9%
8 461
 
4.6%
10 209
 
2.1%
Other values (13) 334
 
3.4%
ValueCountFrequency (%)
0 492
 
4.9%
1 806
8.1%
2 1925
19.3%
3 1659
16.7%
4 1534
15.4%
ValueCountFrequency (%)
99 732
7.4%
21 1
 
< 0.1%
20 7
 
0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%

l11_2
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.62940999
Minimum0
Maximum99
Zeros6450
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:31.180475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)30

Descriptive statistics

Standard deviation28.06873892
Coefficient of variation (CV)1.918651466
Kurtosis3.765997366
Mean14.62940999
Median Absolute Deviation (MAD)0
Skewness2.182113835
Sum145548
Variance787.8541048
MonotonicityNot monotonic
2023-03-22T13:08:31.342068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 6450
64.8%
30 1363
 
13.7%
99 811
 
8.2%
20 220
 
2.2%
40 157
 
1.6%
2 126
 
1.3%
3 102
 
1.0%
50 89
 
0.9%
15 83
 
0.8%
5 77
 
0.8%
Other values (30) 471
 
4.7%
ValueCountFrequency (%)
0 6450
64.8%
1 62
 
0.6%
2 126
 
1.3%
3 102
 
1.0%
4 68
 
0.7%
ValueCountFrequency (%)
99 811
8.2%
59 6
 
0.1%
58 1
 
< 0.1%
55 3
 
< 0.1%
53 1
 
< 0.1%

l12_1
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.19790934
Minimum0
Maximum99
Zeros525
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:31.491866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q37
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation25.86387092
Coefficient of variation (CV)2.120352775
Kurtosis7.24543743
Mean12.19790934
Median Absolute Deviation (MAD)2
Skewness3.015457858
Sum121357
Variance668.9398187
MonotonicityNot monotonic
2023-03-22T13:08:31.628086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 1488
15.0%
3 1367
13.7%
2 1249
12.6%
5 1154
11.6%
6 1015
10.2%
99 802
8.1%
8 762
7.7%
0 525
 
5.3%
1 504
 
5.1%
10 451
 
4.5%
Other values (12) 632
6.4%
ValueCountFrequency (%)
0 525
 
5.3%
1 504
 
5.1%
2 1249
12.6%
3 1367
13.7%
4 1488
15.0%
ValueCountFrequency (%)
99 802
8.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
20 23
 
0.2%
18 5
 
0.1%

l12_2
Real number (ℝ)

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.52206252
Minimum0
Maximum99
Zeros6678
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:31.779162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation28.75109551
Coefficient of variation (CV)1.97982177
Kurtosis3.57060641
Mean14.52206252
Median Absolute Deviation (MAD)0
Skewness2.171187073
Sum144480
Variance826.6254933
MonotonicityNot monotonic
2023-03-22T13:08:31.945676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 6678
67.1%
30 1190
 
12.0%
99 863
 
8.7%
20 177
 
1.8%
40 127
 
1.3%
2 117
 
1.2%
50 108
 
1.1%
3 96
 
1.0%
10 69
 
0.7%
25 60
 
0.6%
Other values (32) 464
 
4.7%
ValueCountFrequency (%)
0 6678
67.1%
1 59
 
0.6%
2 117
 
1.2%
3 96
 
1.0%
4 52
 
0.5%
ValueCountFrequency (%)
99 863
8.7%
59 7
 
0.1%
58 1
 
< 0.1%
55 4
 
< 0.1%
54 1
 
< 0.1%

l13
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4608503367
Minimum0
Maximum9
Zeros6284
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:32.085743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.039625118
Coefficient of variation (CV)2.255884472
Kurtosis49.69654923
Mean0.4608503367
Median Absolute Deviation (MAD)0
Skewness6.401869355
Sum4585
Variance1.080820387
MonotonicityNot monotonic
2023-03-22T13:08:32.186089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6284
63.2%
1 3550
35.7%
9 115
 
1.2%
ValueCountFrequency (%)
0 6284
63.2%
1 3550
35.7%
9 115
 
1.2%
ValueCountFrequency (%)
9 115
 
1.2%
1 3550
35.7%
0 6284
63.2%

l14
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.188159614
Minimum0
Maximum9
Zeros3141
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:32.295025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.782216727
Coefficient of variation (CV)0.7290093228
Kurtosis-1.623966623
Mean5.188159614
Median Absolute Deviation (MAD)0
Skewness-0.6061130748
Sum51617
Variance14.30516337
MonotonicityNot monotonic
2023-03-22T13:08:32.398756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6399
64.3%
0 3141
31.6%
1 407
 
4.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 3141
31.6%
1 407
 
4.1%
8 6399
64.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 6399
64.3%
1 407
 
4.1%
0 3141
31.6%

l14_1
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.468187758
Minimum0
Maximum9
Zeros526
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:32.514051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median7
Q37
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.220576306
Coefficient of variation (CV)0.4060899889
Kurtosis0.08007247125
Mean5.468187758
Median Absolute Deviation (MAD)0
Skewness-1.147991164
Sum54403
Variance4.93095913
MonotonicityNot monotonic
2023-03-22T13:08:32.622474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 5648
56.8%
5 884
 
8.9%
3 770
 
7.7%
6 621
 
6.2%
2 587
 
5.9%
4 540
 
5.4%
0 526
 
5.3%
1 285
 
2.9%
9 88
 
0.9%
ValueCountFrequency (%)
0 526
5.3%
1 285
 
2.9%
2 587
5.9%
3 770
7.7%
4 540
5.4%
ValueCountFrequency (%)
9 88
 
0.9%
7 5648
56.8%
6 621
 
6.2%
5 884
 
8.9%
4 540
 
5.4%

l14_2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.839883405
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:32.733016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.660037104
Coefficient of variation (CV)0.902251251
Kurtosis8.850917356
Mean1.839883405
Median Absolute Deviation (MAD)0
Skewness3.111367687
Sum18305
Variance2.755723187
MonotonicityNot monotonic
2023-03-22T13:08:32.842322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5358
53.9%
2 3914
39.3%
8 614
 
6.2%
3 60
 
0.6%
9 3
 
< 0.1%
ValueCountFrequency (%)
1 5358
53.9%
2 3914
39.3%
3 60
 
0.6%
8 614
 
6.2%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 614
 
6.2%
3 60
 
0.6%
2 3914
39.3%
1 5358
53.9%

l14_3
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.758970751
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:32.972445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.08942059
Coefficient of variation (CV)2.846952425
Kurtosis9.719870749
Mean7.758970751
Median Absolute Deviation (MAD)1
Skewness3.413749009
Sum77194
Variance487.9425022
MonotonicityNot monotonic
2023-03-22T13:08:33.095686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 4450
44.7%
2 3639
36.6%
88 614
 
6.2%
3 601
 
6.0%
4 293
 
2.9%
6 138
 
1.4%
5 69
 
0.7%
99 67
 
0.7%
7 30
 
0.3%
8 22
 
0.2%
Other values (4) 26
 
0.3%
ValueCountFrequency (%)
1 4450
44.7%
2 3639
36.6%
3 601
 
6.0%
4 293
 
2.9%
5 69
 
0.7%
ValueCountFrequency (%)
99 67
 
0.7%
88 614
6.2%
18 1
 
< 0.1%
12 6
 
0.1%
10 6
 
0.1%

l15
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.872449492
Minimum0
Maximum9
Zeros828
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:33.216087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q37
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.407457637
Coefficient of variation (CV)0.4940959656
Kurtosis-0.8335413318
Mean4.872449492
Median Absolute Deviation (MAD)1
Skewness-0.6556007903
Sum48476
Variance5.795852272
MonotonicityNot monotonic
2023-03-22T13:08:33.323284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 4317
43.4%
3 1116
 
11.2%
4 931
 
9.4%
5 894
 
9.0%
0 828
 
8.3%
2 811
 
8.2%
6 645
 
6.5%
1 305
 
3.1%
9 102
 
1.0%
ValueCountFrequency (%)
0 828
8.3%
1 305
 
3.1%
2 811
8.2%
3 1116
11.2%
4 931
9.4%
ValueCountFrequency (%)
9 102
 
1.0%
7 4317
43.4%
6 645
 
6.5%
5 894
 
9.0%
4 931
 
9.4%

l16
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.056287064
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:33.431345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.987457638
Coefficient of variation (CV)0.9665273261
Kurtosis4.703444187
Mean2.056287064
Median Absolute Deviation (MAD)0
Skewness2.475075429
Sum20458
Variance3.949987861
MonotonicityNot monotonic
2023-03-22T13:08:33.540558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5181
52.1%
2 3749
37.7%
8 930
 
9.3%
3 77
 
0.8%
9 12
 
0.1%
ValueCountFrequency (%)
1 5181
52.1%
2 3749
37.7%
3 77
 
0.8%
8 930
 
9.3%
9 12
 
0.1%
ValueCountFrequency (%)
9 12
 
0.1%
8 930
 
9.3%
3 77
 
0.8%
2 3749
37.7%
1 5181
52.1%

l16_1
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.54960298
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:33.669341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.25166005
Coefficient of variation (CV)2.488402655
Kurtosis5.057517307
Mean10.54960298
Median Absolute Deviation (MAD)1
Skewness2.651070272
Sum104958
Variance689.1496553
MonotonicityNot monotonic
2023-03-22T13:08:33.791312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 4005
40.3%
2 3731
37.5%
88 930
 
9.3%
3 796
 
8.0%
4 265
 
2.7%
6 82
 
0.8%
99 74
 
0.7%
5 51
 
0.5%
7 6
 
0.1%
10 3
 
< 0.1%
Other values (3) 6
 
0.1%
ValueCountFrequency (%)
1 4005
40.3%
2 3731
37.5%
3 796
 
8.0%
4 265
 
2.7%
5 51
 
0.5%
ValueCountFrequency (%)
99 74
 
0.7%
88 930
9.3%
12 2
 
< 0.1%
10 3
 
< 0.1%
9 2
 
< 0.1%

l17
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.453713941
Minimum0
Maximum9
Zeros3918
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:35.333853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.622586302
Coefficient of variation (CV)1.068823166
Kurtosis-0.7541116335
Mean2.453713941
Median Absolute Deviation (MAD)2
Skewness0.7333341382
Sum24412
Variance6.877958913
MonotonicityNot monotonic
2023-03-22T13:08:35.440670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3918
39.4%
7 1406
 
14.1%
3 1196
 
12.0%
2 1149
 
11.5%
4 722
 
7.3%
1 694
 
7.0%
5 487
 
4.9%
6 242
 
2.4%
9 135
 
1.4%
ValueCountFrequency (%)
0 3918
39.4%
1 694
 
7.0%
2 1149
 
11.5%
3 1196
 
12.0%
4 722
 
7.3%
ValueCountFrequency (%)
9 135
 
1.4%
7 1406
14.1%
6 242
 
2.4%
5 487
 
4.9%
4 722
7.3%

l18
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.125439743
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:35.549598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.263607054
Coefficient of variation (CV)0.7910931337
Kurtosis-1.837411273
Mean4.125439743
Median Absolute Deviation (MAD)1
Skewness0.3129184452
Sum41044
Variance10.651131
MonotonicityNot monotonic
2023-03-22T13:08:35.661397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 4053
40.7%
1 3642
36.6%
2 1910
19.2%
3 323
 
3.2%
9 21
 
0.2%
ValueCountFrequency (%)
1 3642
36.6%
2 1910
19.2%
3 323
 
3.2%
8 4053
40.7%
9 21
 
0.2%
ValueCountFrequency (%)
9 21
 
0.2%
8 4053
40.7%
3 323
 
3.2%
2 1910
19.2%
1 3642
36.6%

l18_1
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.34777365
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:35.791098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation42.63913659
Coefficient of variation (CV)1.141678136
Kurtosis-1.872525417
Mean37.34777365
Median Absolute Deviation (MAD)1
Skewness0.3535632361
Sum371573
Variance1818.095969
MonotonicityNot monotonic
2023-03-22T13:08:35.915032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
88 4053
40.7%
1 3287
33.0%
2 1971
19.8%
3 387
 
3.9%
4 123
 
1.2%
99 57
 
0.6%
5 54
 
0.5%
6 11
 
0.1%
8 4
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 3287
33.0%
2 1971
19.8%
3 387
 
3.9%
4 123
 
1.2%
5 54
 
0.5%
ValueCountFrequency (%)
99 57
 
0.6%
88 4053
40.7%
9 1
 
< 0.1%
8 4
 
< 0.1%
7 1
 
< 0.1%

l19
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.18263142
Minimum0
Maximum9
Zeros1298
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:36.038396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.596608601
Coefficient of variation (CV)0.6208074153
Kurtosis-1.316202598
Mean4.18263142
Median Absolute Deviation (MAD)3
Skewness-0.2013039704
Sum41613
Variance6.742376227
MonotonicityNot monotonic
2023-03-22T13:08:36.151018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 3398
34.2%
3 1324
 
13.3%
0 1298
 
13.0%
2 1192
 
12.0%
4 960
 
9.6%
5 728
 
7.3%
1 529
 
5.3%
6 406
 
4.1%
9 114
 
1.1%
ValueCountFrequency (%)
0 1298
13.0%
1 529
 
5.3%
2 1192
12.0%
3 1324
13.3%
4 960
9.6%
ValueCountFrequency (%)
9 114
 
1.1%
7 3398
34.2%
6 406
 
4.1%
5 728
 
7.3%
4 960
 
9.6%

l20
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.399437129
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:36.266053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.371562796
Coefficient of variation (CV)0.9883829701
Kurtosis1.589129725
Mean2.399437129
Median Absolute Deviation (MAD)0
Skewness1.800504045
Sum23872
Variance5.624310097
MonotonicityNot monotonic
2023-03-22T13:08:36.375778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5224
52.5%
2 2695
27.1%
8 1412
 
14.2%
3 600
 
6.0%
9 18
 
0.2%
ValueCountFrequency (%)
1 5224
52.5%
2 2695
27.1%
3 600
 
6.0%
8 1412
 
14.2%
9 18
 
0.2%
ValueCountFrequency (%)
9 18
 
0.2%
8 1412
 
14.2%
3 600
 
6.0%
2 2695
27.1%
1 5224
52.5%

l20_1
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.91295608
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:36.504662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)2

Descriptive statistics

Standard deviation30.14582675
Coefficient of variation (CV)2.166744909
Kurtosis2.204416342
Mean13.91295608
Median Absolute Deviation (MAD)1
Skewness2.048644532
Sum138420
Variance908.7708705
MonotonicityNot monotonic
2023-03-22T13:08:36.616082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 4723
47.5%
2 2679
26.9%
88 1412
 
14.2%
3 799
 
8.0%
4 154
 
1.5%
5 90
 
0.9%
6 72
 
0.7%
9 7
 
0.1%
8 5
 
0.1%
10 4
 
< 0.1%
Other values (3) 4
 
< 0.1%
ValueCountFrequency (%)
1 4723
47.5%
2 2679
26.9%
3 799
 
8.0%
4 154
 
1.5%
5 90
 
0.9%
ValueCountFrequency (%)
88 1412
14.2%
14 1
 
< 0.1%
12 2
 
< 0.1%
10 4
 
< 0.1%
9 7
 
0.1%

l21
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.082219319
Minimum0
Maximum9
Zeros972
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:36.732052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.984579287
Coefficient of variation (CV)0.6438799714
Kurtosis-0.01151528435
Mean3.082219319
Median Absolute Deviation (MAD)1
Skewness0.583370952
Sum30665
Variance3.938554945
MonotonicityNot monotonic
2023-03-22T13:08:36.838049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 2323
23.3%
2 2258
22.7%
4 1357
13.6%
0 972
9.8%
1 955
9.6%
5 832
 
8.4%
7 828
 
8.3%
6 325
 
3.3%
9 99
 
1.0%
ValueCountFrequency (%)
0 972
9.8%
1 955
9.6%
2 2258
22.7%
3 2323
23.3%
4 1357
13.6%
ValueCountFrequency (%)
9 99
 
1.0%
7 828
8.3%
6 325
 
3.3%
5 832
8.4%
4 1357
13.6%

l22
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.966629812
Minimum0
Maximum9
Zeros730
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:36.951873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6.6
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.766328302
Coefficient of variation (CV)0.5953989591
Kurtosis0.7150814716
Mean2.966629812
Median Absolute Deviation (MAD)1
Skewness0.7046019248
Sum29515
Variance3.119915671
MonotonicityNot monotonic
2023-03-22T13:08:37.060077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 2635
26.5%
2 2560
25.7%
4 1378
13.9%
1 961
 
9.7%
5 791
 
8.0%
0 730
 
7.3%
7 398
 
4.0%
6 396
 
4.0%
9 100
 
1.0%
ValueCountFrequency (%)
0 730
 
7.3%
1 961
 
9.7%
2 2560
25.7%
3 2635
26.5%
4 1378
13.9%
ValueCountFrequency (%)
9 100
 
1.0%
7 398
 
4.0%
6 396
 
4.0%
5 791
8.0%
4 1378
13.9%

l23
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.159312494
Minimum0
Maximum9
Zeros5000
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:37.176188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.707751248
Coefficient of variation (CV)1.473072409
Kurtosis5.436758412
Mean1.159312494
Median Absolute Deviation (MAD)0
Skewness2.161746601
Sum11534
Variance2.916414324
MonotonicityNot monotonic
2023-03-22T13:08:37.284537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 5000
50.3%
1 2028
20.4%
2 1418
 
14.3%
3 718
 
7.2%
4 249
 
2.5%
5 171
 
1.7%
7 151
 
1.5%
9 108
 
1.1%
6 106
 
1.1%
ValueCountFrequency (%)
0 5000
50.3%
1 2028
20.4%
2 1418
 
14.3%
3 718
 
7.2%
4 249
 
2.5%
ValueCountFrequency (%)
9 108
1.1%
7 151
1.5%
6 106
1.1%
5 171
1.7%
4 249
2.5%

l23_1
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.52326867
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:37.396049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.091872564
Coefficient of variation (CV)0.3099032933
Kurtosis9.858081024
Mean3.52326867
Median Absolute Deviation (MAD)0
Skewness2.193031228
Sum35053
Variance1.192185696
MonotonicityNot monotonic
2023-03-22T13:08:37.508883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 4980
50.1%
4 3224
32.4%
5 865
 
8.7%
2 524
 
5.3%
9 186
 
1.9%
1 170
 
1.7%
ValueCountFrequency (%)
1 170
 
1.7%
2 524
 
5.3%
3 4980
50.1%
4 3224
32.4%
5 865
 
8.7%
ValueCountFrequency (%)
9 186
 
1.9%
5 865
 
8.7%
4 3224
32.4%
3 4980
50.1%
2 524
 
5.3%

l24
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.407779676
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:37.630790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9760212066
Coefficient of variation (CV)0.693305368
Kurtosis27.76837771
Mean1.407779676
Median Absolute Deviation (MAD)0
Skewness4.350048028
Sum14006
Variance0.9526173958
MonotonicityNot monotonic
2023-03-22T13:08:37.738709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 7728
77.7%
3 1269
 
12.8%
2 871
 
8.8%
9 81
 
0.8%
ValueCountFrequency (%)
1 7728
77.7%
2 871
 
8.8%
3 1269
 
12.8%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
3 1269
 
12.8%
2 871
 
8.8%
1 7728
77.7%

l25
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.343351091
Minimum0
Maximum9
Zeros110
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:37.864496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.895837839
Coefficient of variation (CV)0.2581706657
Kurtosis5.940816107
Mean7.343351091
Median Absolute Deviation (MAD)0
Skewness-2.74183506
Sum73059
Variance3.594201113
MonotonicityNot monotonic
2023-03-22T13:08:37.972217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 8680
87.2%
2 330
 
3.3%
1 298
 
3.0%
3 179
 
1.8%
7 174
 
1.7%
0 110
 
1.1%
4 80
 
0.8%
5 50
 
0.5%
6 32
 
0.3%
9 16
 
0.2%
ValueCountFrequency (%)
0 110
 
1.1%
1 298
3.0%
2 330
3.3%
3 179
1.8%
4 80
 
0.8%
ValueCountFrequency (%)
9 16
 
0.2%
8 8680
87.2%
7 174
 
1.7%
6 32
 
0.3%
5 50
 
0.5%

l26
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.8318424
Minimum0
Maximum99
Zeros59
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:38.093398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.26041744
Coefficient of variation (CV)0.4836866625
Kurtosis0.1793863429
Mean70.8318424
Median Absolute Deviation (MAD)0
Skewness-1.470370277
Sum704706
Variance1173.776203
MonotonicityNot monotonic
2023-03-22T13:08:38.222380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
88 7809
78.5%
2 554
 
5.6%
1 519
 
5.2%
3 310
 
3.1%
5 161
 
1.6%
4 146
 
1.5%
99 110
 
1.1%
6 92
 
0.9%
10 71
 
0.7%
0 59
 
0.6%
Other values (8) 118
 
1.2%
ValueCountFrequency (%)
0 59
 
0.6%
1 519
5.2%
2 554
5.6%
3 310
3.1%
4 146
 
1.5%
ValueCountFrequency (%)
99 110
 
1.1%
88 7809
78.5%
20 17
 
0.2%
15 16
 
0.2%
14 4
 
< 0.1%

l28
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.987938486
Minimum0
Maximum9
Zeros719
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:38.341804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.57802552
Coefficient of variation (CV)0.368925045
Kurtosis2.733069492
Mean6.987938486
Median Absolute Deviation (MAD)0
Skewness-2.165511527
Sum69523
Variance6.646215583
MonotonicityNot monotonic
2023-03-22T13:08:38.441454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8603
86.5%
0 719
 
7.2%
1 618
 
6.2%
9 9
 
0.1%
ValueCountFrequency (%)
0 719
 
7.2%
1 618
 
6.2%
8 8603
86.5%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 8603
86.5%
1 618
 
6.2%
0 719
 
7.2%

l29
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.40024123
Minimum0
Maximum9
Zeros505
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:38.550046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.062704204
Coefficient of variation (CV)0.278734725
Kurtosis8.003615139
Mean7.40024123
Median Absolute Deviation (MAD)0
Skewness-3.153388508
Sum73625
Variance4.254748635
MonotonicityNot monotonic
2023-03-22T13:08:38.650262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9155
92.0%
0 505
 
5.1%
1 277
 
2.8%
9 12
 
0.1%
ValueCountFrequency (%)
0 505
 
5.1%
1 277
 
2.8%
8 9155
92.0%
9 12
 
0.1%
ValueCountFrequency (%)
9 12
 
0.1%
8 9155
92.0%
1 277
 
2.8%
0 505
 
5.1%

l30_0
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.725198512
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:38.753882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8567884939
Coefficient of variation (CV)0.4966318297
Kurtosis46.84522822
Mean1.725198512
Median Absolute Deviation (MAD)0
Skewness5.6609762
Sum17164
Variance0.7340865232
MonotonicityNot monotonic
2023-03-22T13:08:38.867673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 6455
64.9%
1 3399
34.2%
9 95
 
1.0%
ValueCountFrequency (%)
1 3399
34.2%
2 6455
64.9%
9 95
 
1.0%
ValueCountFrequency (%)
9 95
 
1.0%
2 6455
64.9%
1 3399
34.2%

l30
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.053774249
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:38.988071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.756215894
Coefficient of variation (CV)0.4552888464
Kurtosis-1.178508573
Mean6.053774249
Median Absolute Deviation (MAD)0
Skewness-0.7970653646
Sum60229
Variance7.596726053
MonotonicityNot monotonic
2023-03-22T13:08:39.097848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6550
65.8%
3 2148
 
21.6%
1 1117
 
11.2%
2 134
 
1.3%
ValueCountFrequency (%)
1 1117
 
11.2%
2 134
 
1.3%
3 2148
 
21.6%
8 6550
65.8%
ValueCountFrequency (%)
8 6550
65.8%
3 2148
 
21.6%
2 134
 
1.3%
1 1117
 
11.2%

l30_1
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.56528294
Minimum0
Maximum99
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:39.243006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.28198597
Coefficient of variation (CV)0.3217959005
Kurtosis3.627282725
Mean78.56528294
Median Absolute Deviation (MAD)0
Skewness-2.347523842
Sum781646
Variance639.1788147
MonotonicityNot monotonic
2023-03-22T13:08:39.392287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
88 8698
87.4%
20 295
 
3.0%
10 209
 
2.1%
5 113
 
1.1%
3 102
 
1.0%
2 84
 
0.8%
15 77
 
0.8%
4 53
 
0.5%
1 51
 
0.5%
8 49
 
0.5%
Other values (24) 218
 
2.2%
ValueCountFrequency (%)
0 15
 
0.2%
1 51
0.5%
2 84
0.8%
3 102
1.0%
4 53
0.5%
ValueCountFrequency (%)
99 9
 
0.1%
88 8698
87.4%
80 2
 
< 0.1%
70 2
 
< 0.1%
60 7
 
0.1%

l33
Real number (ℝ)

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean781.6720273
Minimum0
Maximum999
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:39.553405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation285.9001844
Coefficient of variation (CV)0.3657546572
Kurtosis3.307069676
Mean781.6720273
Median Absolute Deviation (MAD)0
Skewness-2.302124372
Sum7776855
Variance81738.91544
MonotonicityNot monotonic
2023-03-22T13:08:39.723305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 8698
87.4%
15 176
 
1.8%
12 110
 
1.1%
14 108
 
1.1%
18 107
 
1.1%
20 92
 
0.9%
13 82
 
0.8%
17 79
 
0.8%
16 78
 
0.8%
10 61
 
0.6%
Other values (40) 358
 
3.6%
ValueCountFrequency (%)
0 3
< 0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 3
< 0.1%
ValueCountFrequency (%)
999 33
 
0.3%
888 8698
87.4%
76 1
 
< 0.1%
70 1
 
< 0.1%
63 1
 
< 0.1%

l31
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.553723992
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:39.858695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.787265951
Coefficient of variation (CV)0.4252949856
Kurtosis0.04842972789
Mean6.553723992
Median Absolute Deviation (MAD)0
Skewness-1.419408859
Sum65203
Variance7.76885148
MonotonicityNot monotonic
2023-03-22T13:08:39.968056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 7801
78.4%
1 1750
 
17.6%
2 257
 
2.6%
3 123
 
1.2%
9 18
 
0.2%
ValueCountFrequency (%)
1 1750
 
17.6%
2 257
 
2.6%
3 123
 
1.2%
8 7801
78.4%
9 18
 
0.2%
ValueCountFrequency (%)
9 18
 
0.2%
8 7801
78.4%
3 123
 
1.2%
2 257
 
2.6%
1 1750
 
17.6%

l32
Real number (ℝ)

Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723.9406976
Minimum0
Maximum999
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:40.123335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation340.8356896
Coefficient of variation (CV)0.4708060906
Kurtosis0.4714896954
Mean723.9406976
Median Absolute Deviation (MAD)0
Skewness-1.56847361
Sum7202486
Variance116168.9673
MonotonicityNot monotonic
2023-03-22T13:08:40.292900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 7942
79.8%
20 228
 
2.3%
30 193
 
1.9%
40 139
 
1.4%
10 123
 
1.2%
999 106
 
1.1%
25 87
 
0.9%
15 81
 
0.8%
35 62
 
0.6%
5 49
 
0.5%
Other values (63) 939
 
9.4%
ValueCountFrequency (%)
0 39
0.4%
1 34
0.3%
2 44
0.4%
3 44
0.4%
4 35
0.4%
ValueCountFrequency (%)
999 106
 
1.1%
888 7942
79.8%
75 1
 
< 0.1%
71 1
 
< 0.1%
70 3
 
< 0.1%

l32_2
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713.876872
Minimum0
Maximum999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:40.456210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation348.8053825
Coefficient of variation (CV)0.488607204
Kurtosis0.2552745426
Mean713.876872
Median Absolute Deviation (MAD)0
Skewness-1.500615808
Sum7102361
Variance121665.1948
MonotonicityNot monotonic
2023-03-22T13:08:40.613790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
888 7942
79.8%
20 573
 
5.8%
10 266
 
2.7%
5 168
 
1.7%
40 152
 
1.5%
3 140
 
1.4%
2 128
 
1.3%
15 94
 
0.9%
4 69
 
0.7%
30 65
 
0.7%
Other values (30) 352
 
3.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 56
 
0.6%
2 128
1.3%
3 140
1.4%
4 69
0.7%
ValueCountFrequency (%)
999 17
 
0.2%
888 7942
79.8%
98 1
 
< 0.1%
90 2
 
< 0.1%
80 12
 
0.1%

l39
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1136797668
Minimum0
Maximum2
Zeros9157
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:40.745594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4110002538
Coefficient of variation (CV)3.615421331
Kurtosis13.11921207
Mean0.1136797668
Median Absolute Deviation (MAD)0
Skewness3.732406014
Sum1131
Variance0.1689212087
MonotonicityNot monotonic
2023-03-22T13:08:40.857221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9157
92.0%
1 453
 
4.6%
2 339
 
3.4%
ValueCountFrequency (%)
0 9157
92.0%
1 453
 
4.6%
2 339
 
3.4%
ValueCountFrequency (%)
2 339
 
3.4%
1 453
 
4.6%
0 9157
92.0%

m2
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.210573927
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:40.979896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.791578027
Coefficient of variation (CV)0.5357525038
Kurtosis-1.818620619
Mean5.210573927
Median Absolute Deviation (MAD)2
Skewness0.04285522981
Sum51840
Variance7.792907883
MonotonicityNot monotonic
2023-03-22T13:08:41.092418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 4051
40.7%
3 2682
27.0%
2 1802
18.1%
9 592
 
6.0%
4 512
 
5.1%
1 286
 
2.9%
5 24
 
0.2%
ValueCountFrequency (%)
1 286
 
2.9%
2 1802
18.1%
3 2682
27.0%
4 512
 
5.1%
5 24
 
0.2%
ValueCountFrequency (%)
9 592
 
6.0%
8 4051
40.7%
5 24
 
0.2%
4 512
 
5.1%
3 2682
27.0%

m3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.330384963
Minimum0
Maximum9
Zeros5652
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:41.215661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.934028556
Coefficient of variation (CV)1.181253399
Kurtosis-1.871745215
Mean3.330384963
Median Absolute Deviation (MAD)0
Skewness0.3505567186
Sum33134
Variance15.47658068
MonotonicityNot monotonic
2023-03-22T13:08:41.319731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5652
56.8%
8 4051
40.7%
1 186
 
1.9%
9 60
 
0.6%
ValueCountFrequency (%)
0 5652
56.8%
1 186
 
1.9%
8 4051
40.7%
9 60
 
0.6%
ValueCountFrequency (%)
9 60
 
0.6%
8 4051
40.7%
1 186
 
1.9%
0 5652
56.8%

m4_1
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.200522666
Minimum0
Maximum9
Zeros116
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:41.433304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.644211294
Coefficient of variation (CV)0.5084510661
Kurtosis-1.770067266
Mean5.200522666
Median Absolute Deviation (MAD)1
Skewness0.08765855795
Sum51740
Variance6.991853366
MonotonicityNot monotonic
2023-03-22T13:08:41.537801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 4917
49.4%
8 4297
43.2%
9 228
 
2.3%
1 221
 
2.2%
2 170
 
1.7%
0 116
 
1.2%
ValueCountFrequency (%)
0 116
 
1.2%
1 221
 
2.2%
2 170
 
1.7%
3 4917
49.4%
8 4297
43.2%
ValueCountFrequency (%)
9 228
 
2.3%
8 4297
43.2%
3 4917
49.4%
2 170
 
1.7%
1 221
 
2.2%

m5
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.004925118
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:41.646383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.592145017
Coefficient of variation (CV)0.5179188411
Kurtosis-1.81901714
Mean5.004925118
Median Absolute Deviation (MAD)1
Skewness0.2774866628
Sum49794
Variance6.719215789
MonotonicityNot monotonic
2023-03-22T13:08:41.757794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4884
49.1%
8 4051
40.7%
2 768
 
7.7%
1 127
 
1.3%
9 119
 
1.2%
ValueCountFrequency (%)
1 127
 
1.3%
2 768
 
7.7%
3 4884
49.1%
8 4051
40.7%
9 119
 
1.2%
ValueCountFrequency (%)
9 119
 
1.2%
8 4051
40.7%
3 4884
49.1%
2 768
 
7.7%
1 127
 
1.3%

m6
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.470700573
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:41.879678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.732013351
Coefficient of variation (CV)0.2318408205
Kurtosis7.408881614
Mean7.470700573
Median Absolute Deviation (MAD)0
Skewness-3.023467843
Sum74326
Variance2.999870247
MonotonicityNot monotonic
2023-03-22T13:08:41.989683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9054
91.0%
1 357
 
3.6%
3 321
 
3.2%
2 197
 
2.0%
9 20
 
0.2%
ValueCountFrequency (%)
1 357
 
3.6%
2 197
 
2.0%
3 321
 
3.2%
8 9054
91.0%
9 20
 
0.2%
ValueCountFrequency (%)
9 20
 
0.2%
8 9054
91.0%
3 321
 
3.2%
2 197
 
2.0%
1 357
 
3.6%

m7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.779073274
Minimum0
Maximum9
Zeros1260
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:42.111844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.577736904
Coefficient of variation (CV)0.9467233485
Kurtosis-1.854982921
Mean3.779073274
Median Absolute Deviation (MAD)1
Skewness0.3257834324
Sum37598
Variance12.80020135
MonotonicityNot monotonic
2023-03-22T13:08:42.215682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4569
45.9%
8 4051
40.7%
0 1260
 
12.7%
9 69
 
0.7%
ValueCountFrequency (%)
0 1260
 
12.7%
1 4569
45.9%
8 4051
40.7%
9 69
 
0.7%
ValueCountFrequency (%)
9 69
 
0.7%
8 4051
40.7%
1 4569
45.9%
0 1260
 
12.7%

m8
Real number (ℝ)

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean517.3669716
Minimum12
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:42.354064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile16
Q121
median888
Q3888
95-th percentile888
Maximum999
Range987
Interquartile range (IQR)867

Descriptive statistics

Standard deviation432.2718865
Coefficient of variation (CV)0.8355227725
Kurtosis-1.917329118
Mean517.3669716
Median Absolute Deviation (MAD)0
Skewness-0.2719587801
Sum5147284
Variance186858.9838
MonotonicityNot monotonic
2023-03-22T13:08:42.511878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
888 5380
54.1%
18 485
 
4.9%
20 480
 
4.8%
19 438
 
4.4%
17 364
 
3.7%
22 317
 
3.2%
21 295
 
3.0%
999 278
 
2.8%
16 265
 
2.7%
23 220
 
2.2%
Other values (29) 1427
 
14.3%
ValueCountFrequency (%)
12 11
 
0.1%
13 34
 
0.3%
14 82
 
0.8%
15 133
1.3%
16 265
2.7%
ValueCountFrequency (%)
999 278
 
2.8%
888 5380
54.1%
57 1
 
< 0.1%
56 1
 
< 0.1%
55 1
 
< 0.1%

m9
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.94381345
Minimum0
Maximum99
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:42.662199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)84

Descriptive statistics

Standard deviation41.70170412
Coefficient of variation (CV)0.8349723667
Kurtosis-1.955319058
Mean49.94381345
Median Absolute Deviation (MAD)0
Skewness-0.1841080338
Sum496891
Variance1739.032126
MonotonicityNot monotonic
2023-03-22T13:08:42.806051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88 5380
54.1%
2 979
 
9.8%
3 926
 
9.3%
4 577
 
5.8%
1 425
 
4.3%
5 386
 
3.9%
6 281
 
2.8%
7 212
 
2.1%
8 172
 
1.7%
10 131
 
1.3%
Other values (17) 480
 
4.8%
ValueCountFrequency (%)
0 29
 
0.3%
1 425
4.3%
2 979
9.8%
3 926
9.3%
4 577
5.8%
ValueCountFrequency (%)
99 32
 
0.3%
88 5380
54.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
22 4
 
< 0.1%

m10
Real number (ℝ)

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.83123932
Minimum0
Maximum99
Zeros51
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:42.947400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)84

Descriptive statistics

Standard deviation41.84523736
Coefficient of variation (CV)0.8397390457
Kurtosis-1.957225246
Mean49.83123932
Median Absolute Deviation (MAD)0
Skewness-0.1836598066
Sum495771
Variance1751.023889
MonotonicityNot monotonic
2023-03-22T13:08:43.085733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
88 5380
54.1%
2 1032
 
10.4%
3 950
 
9.5%
4 594
 
6.0%
1 448
 
4.5%
5 376
 
3.8%
6 277
 
2.8%
7 196
 
2.0%
8 166
 
1.7%
9 124
 
1.2%
Other values (14) 406
 
4.1%
ValueCountFrequency (%)
0 51
 
0.5%
1 448
4.5%
2 1032
10.4%
3 950
9.5%
4 594
6.0%
ValueCountFrequency (%)
99 35
 
0.4%
88 5380
54.1%
22 3
 
< 0.1%
20 2
 
< 0.1%
19 1
 
< 0.1%

m11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.421248367
Minimum0
Maximum9
Zeros4876
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:43.211051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.881973382
Coefficient of variation (CV)1.134665761
Kurtosis-1.869400942
Mean3.421248367
Median Absolute Deviation (MAD)1
Skewness0.3323485144
Sum34038
Variance15.06971734
MonotonicityNot monotonic
2023-03-22T13:08:43.315205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4876
49.0%
8 4051
40.7%
1 946
 
9.5%
9 76
 
0.8%
ValueCountFrequency (%)
0 4876
49.0%
1 946
 
9.5%
8 4051
40.7%
9 76
 
0.8%
ValueCountFrequency (%)
9 76
 
0.8%
8 4051
40.7%
1 946
 
9.5%
0 4876
49.0%

m11_1
Real number (ℝ)

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean815.25098
Minimum3
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:43.460208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile46
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range996
Interquartile range (IQR)0

Descriptive statistics

Standard deviation238.6226777
Coefficient of variation (CV)0.2926984248
Kurtosis6.538693141
Mean815.25098
Median Absolute Deviation (MAD)0
Skewness-2.916931531
Sum8110932
Variance56940.7823
MonotonicityNot monotonic
2023-03-22T13:08:43.630150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9003
90.5%
999 78
 
0.8%
45 71
 
0.7%
40 56
 
0.6%
50 51
 
0.5%
35 46
 
0.5%
48 42
 
0.4%
46 37
 
0.4%
55 35
 
0.4%
42 34
 
0.3%
Other values (55) 496
 
5.0%
ValueCountFrequency (%)
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
10 1
< 0.1%
18 2
< 0.1%
ValueCountFrequency (%)
999 78
 
0.8%
888 9003
90.5%
82 1
 
< 0.1%
80 1
 
< 0.1%
78 3
 
< 0.1%

m12
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.512915871
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:43.768748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.708607502
Coefficient of variation (CV)0.2274226854
Kurtosis9.876467886
Mean7.512915871
Median Absolute Deviation (MAD)0
Skewness-3.400540103
Sum74746
Variance2.919339597
MonotonicityNot monotonic
2023-03-22T13:08:43.882982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 9003
90.5%
1 587
 
5.9%
7 123
 
1.2%
6 96
 
1.0%
4 38
 
0.4%
9 35
 
0.4%
3 25
 
0.3%
5 24
 
0.2%
2 18
 
0.2%
ValueCountFrequency (%)
1 587
5.9%
2 18
 
0.2%
3 25
 
0.3%
4 38
 
0.4%
5 24
 
0.2%
ValueCountFrequency (%)
9 35
 
0.4%
8 9003
90.5%
7 123
 
1.2%
6 96
 
1.0%
5 24
 
0.2%

m13
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.285154287
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:44.005217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.288622802
Coefficient of variation (CV)0.7674455999
Kurtosis-1.863139408
Mean4.285154287
Median Absolute Deviation (MAD)1
Skewness0.2356236721
Sum42633
Variance10.81503994
MonotonicityNot monotonic
2023-03-22T13:08:44.116801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 4051
40.7%
1 3501
35.2%
2 1649
16.6%
3 551
 
5.5%
9 197
 
2.0%
ValueCountFrequency (%)
1 3501
35.2%
2 1649
16.6%
3 551
 
5.5%
8 4051
40.7%
9 197
 
2.0%
ValueCountFrequency (%)
9 197
 
2.0%
8 4051
40.7%
3 551
 
5.5%
2 1649
16.6%
1 3501
35.2%

m14
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.938586793
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:44.240655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.870749363
Coefficient of variation (CV)0.5812896448
Kurtosis-1.647724416
Mean4.938586793
Median Absolute Deviation (MAD)3
Skewness-0.07111608283
Sum49134
Variance8.241201903
MonotonicityNot monotonic
2023-03-22T13:08:44.352682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 4051
40.7%
1 1680
16.9%
2 1350
 
13.6%
4 1128
 
11.3%
5 848
 
8.5%
3 739
 
7.4%
9 153
 
1.5%
ValueCountFrequency (%)
1 1680
16.9%
2 1350
13.6%
3 739
7.4%
4 1128
11.3%
5 848
8.5%
ValueCountFrequency (%)
9 153
 
1.5%
8 4051
40.7%
5 848
 
8.5%
4 1128
 
11.3%
3 739
 
7.4%

m15
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.057794753
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:44.475431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.755623851
Coefficient of variation (CV)0.5448271402
Kurtosis-1.654902227
Mean5.057794753
Median Absolute Deviation (MAD)3
Skewness-0.05300052042
Sum50320
Variance7.593462808
MonotonicityNot monotonic
2023-03-22T13:08:44.587625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 4051
40.7%
2 1863
18.7%
3 1133
 
11.4%
5 1062
 
10.7%
1 901
 
9.1%
4 775
 
7.8%
9 164
 
1.6%
ValueCountFrequency (%)
1 901
9.1%
2 1863
18.7%
3 1133
11.4%
4 775
7.8%
5 1062
10.7%
ValueCountFrequency (%)
9 164
 
1.6%
8 4051
40.7%
5 1062
 
10.7%
4 775
 
7.8%
3 1133
 
11.4%

m16
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.320434214
Minimum0
Maximum8
Zeros5458
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:44.710891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.89052099
Coefficient of variation (CV)1.171690429
Kurtosis-1.853293139
Mean3.320434214
Median Absolute Deviation (MAD)0
Skewness0.3614900678
Sum33035
Variance15.13615357
MonotonicityNot monotonic
2023-03-22T13:08:44.823754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5458
54.9%
8 4051
40.7%
1 253
 
2.5%
2 187
 
1.9%
ValueCountFrequency (%)
0 5458
54.9%
1 253
 
2.5%
2 187
 
1.9%
8 4051
40.7%
ValueCountFrequency (%)
8 4051
40.7%
2 187
 
1.9%
1 253
 
2.5%
0 5458
54.9%

n1
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.676851945
Minimum0
Maximum9
Zeros240
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:44.949081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.113216965
Coefficient of variation (CV)0.4158679627
Kurtosis5.503142466
Mean2.676851945
Median Absolute Deviation (MAD)1
Skewness1.086658102
Sum26632
Variance1.239252011
MonotonicityNot monotonic
2023-03-22T13:08:45.059617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 3758
37.8%
3 3641
36.6%
4 1237
 
12.4%
1 590
 
5.9%
5 423
 
4.3%
0 240
 
2.4%
9 60
 
0.6%
ValueCountFrequency (%)
0 240
 
2.4%
1 590
 
5.9%
2 3758
37.8%
3 3641
36.6%
4 1237
 
12.4%
ValueCountFrequency (%)
9 60
 
0.6%
5 423
 
4.3%
4 1237
 
12.4%
3 3641
36.6%
2 3758
37.8%

n1_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.319127551
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:45.172649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8313670022
Coefficient of variation (CV)0.3584826553
Kurtosis23.86081035
Mean2.319127551
Median Absolute Deviation (MAD)0
Skewness2.99221189
Sum23073
Variance0.6911710924
MonotonicityNot monotonic
2023-03-22T13:08:45.285138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 5036
50.6%
3 3796
38.2%
1 1055
 
10.6%
9 62
 
0.6%
ValueCountFrequency (%)
1 1055
 
10.6%
2 5036
50.6%
3 3796
38.2%
9 62
 
0.6%
ValueCountFrequency (%)
9 62
 
0.6%
3 3796
38.2%
2 5036
50.6%
1 1055
 
10.6%

n2
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.261935873
Minimum0
Maximum99
Zeros6082
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:45.431123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.14885831
Coefficient of variation (CV)2.223767683
Kurtosis18.06932981
Mean7.261935873
Median Absolute Deviation (MAD)0
Skewness3.873246491
Sum72249
Variance260.7856248
MonotonicityNot monotonic
2023-03-22T13:08:45.583083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 6082
61.1%
30 979
 
9.8%
5 386
 
3.9%
15 365
 
3.7%
10 356
 
3.6%
3 293
 
2.9%
2 270
 
2.7%
20 228
 
2.3%
99 197
 
2.0%
7 168
 
1.7%
Other values (21) 625
 
6.3%
ValueCountFrequency (%)
0 6082
61.1%
1 140
 
1.4%
2 270
 
2.7%
3 293
 
2.9%
4 106
 
1.1%
ValueCountFrequency (%)
99 197
 
2.0%
30 979
9.8%
28 9
 
0.1%
27 1
 
< 0.1%
26 3
 
< 0.1%

n3
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.298622977
Minimum0
Maximum99
Zeros7395
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:45.732826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.96944897
Coefficient of variation (CV)3.013886633
Kurtosis23.2295096
Mean5.298622977
Median Absolute Deviation (MAD)0
Skewness4.615494009
Sum52716
Variance255.0233003
MonotonicityNot monotonic
2023-03-22T13:08:45.871843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7395
74.3%
30 566
 
5.7%
5 314
 
3.2%
10 262
 
2.6%
2 226
 
2.3%
99 217
 
2.2%
15 197
 
2.0%
3 187
 
1.9%
20 130
 
1.3%
7 107
 
1.1%
Other values (16) 348
 
3.5%
ValueCountFrequency (%)
0 7395
74.3%
1 80
 
0.8%
2 226
 
2.3%
3 187
 
1.9%
4 84
 
0.8%
ValueCountFrequency (%)
99 217
 
2.2%
30 566
5.7%
29 2
 
< 0.1%
28 9
 
0.1%
27 1
 
< 0.1%

n5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7179616042
Minimum0
Maximum9
Zeros3286
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:45.995039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7979794713
Coefficient of variation (CV)1.111451457
Kurtosis67.25207426
Mean0.7179616042
Median Absolute Deviation (MAD)0
Skewness6.533021331
Sum7143
Variance0.6367712366
MonotonicityNot monotonic
2023-03-22T13:08:46.095608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6603
66.4%
0 3286
33.0%
9 60
 
0.6%
ValueCountFrequency (%)
0 3286
33.0%
1 6603
66.4%
9 60
 
0.6%
ValueCountFrequency (%)
9 60
 
0.6%
1 6603
66.4%
0 3286
33.0%

n6
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.599256207
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:46.203346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060268423
Coefficient of variation (CV)0.4079122406
Kurtosis10.04395818
Mean2.599256207
Median Absolute Deviation (MAD)0
Skewness2.290719611
Sum25860
Variance1.124169129
MonotonicityNot monotonic
2023-03-22T13:08:46.318121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5377
54.0%
3 2463
24.8%
4 1272
 
12.8%
1 476
 
4.8%
5 274
 
2.8%
9 87
 
0.9%
ValueCountFrequency (%)
1 476
 
4.8%
2 5377
54.0%
3 2463
24.8%
4 1272
 
12.8%
5 274
 
2.8%
ValueCountFrequency (%)
9 87
 
0.9%
5 274
 
2.8%
4 1272
 
12.8%
3 2463
24.8%
2 5377
54.0%

n7
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.656447884
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:46.443706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062943603
Coefficient of variation (CV)0.400137194
Kurtosis9.425707282
Mean2.656447884
Median Absolute Deviation (MAD)0
Skewness2.18519466
Sum26429
Variance1.129849102
MonotonicityNot monotonic
2023-03-22T13:08:46.556489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5170
52.0%
3 2557
25.7%
4 1476
 
14.8%
1 391
 
3.9%
5 268
 
2.7%
9 87
 
0.9%
ValueCountFrequency (%)
1 391
 
3.9%
2 5170
52.0%
3 2557
25.7%
4 1476
 
14.8%
5 268
 
2.7%
ValueCountFrequency (%)
9 87
 
0.9%
5 268
 
2.7%
4 1476
 
14.8%
3 2557
25.7%
2 5170
52.0%

n8
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.273394311
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:46.679184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322623635
Coefficient of variation (CV)0.5817836478
Kurtosis10.21865052
Mean2.273394311
Median Absolute Deviation (MAD)1
Skewness2.439040103
Sum22618
Variance1.74933328
MonotonicityNot monotonic
2023-03-22T13:08:46.792755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 3065
30.8%
1 3014
30.3%
3 2951
29.7%
4 730
 
7.3%
9 189
 
1.9%
ValueCountFrequency (%)
1 3014
30.3%
2 3065
30.8%
3 2951
29.7%
4 730
 
7.3%
9 189
 
1.9%
ValueCountFrequency (%)
9 189
 
1.9%
4 730
 
7.3%
3 2951
29.7%
2 3065
30.8%
1 3014
30.3%

n9
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8180721681
Minimum0
Maximum9
Zeros8432
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:46.919003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.371945809
Coefficient of variation (CV)2.899433451
Kurtosis5.874127992
Mean0.8180721681
Median Absolute Deviation (MAD)0
Skewness2.782627133
Sum8139
Variance5.626126922
MonotonicityNot monotonic
2023-03-22T13:08:47.018583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8432
84.8%
8 730
 
7.3%
1 598
 
6.0%
9 189
 
1.9%
ValueCountFrequency (%)
0 8432
84.8%
1 598
 
6.0%
8 730
 
7.3%
9 189
 
1.9%
ValueCountFrequency (%)
9 189
 
1.9%
8 730
 
7.3%
1 598
 
6.0%
0 8432
84.8%

n10
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.778470198
Minimum0
Maximum9
Zeros8874
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:47.125690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.386038425
Coefficient of variation (CV)3.065035027
Kurtosis5.935065824
Mean0.778470198
Median Absolute Deviation (MAD)0
Skewness2.805932617
Sum7745
Variance5.693179364
MonotonicityNot monotonic
2023-03-22T13:08:47.225322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8874
89.2%
8 730
 
7.3%
9 195
 
2.0%
1 150
 
1.5%
ValueCountFrequency (%)
0 8874
89.2%
1 150
 
1.5%
8 730
 
7.3%
9 195
 
2.0%
ValueCountFrequency (%)
9 195
 
2.0%
8 730
 
7.3%
1 150
 
1.5%
0 8874
89.2%

n11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7927429892
Minimum0
Maximum9
Zeros8900
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:47.332382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.41599174
Coefficient of variation (CV)3.04763558
Kurtosis5.717718465
Mean0.7927429892
Median Absolute Deviation (MAD)0
Skewness2.768243719
Sum7887
Variance5.837016088
MonotonicityNot monotonic
2023-03-22T13:08:47.432020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8900
89.5%
8 730
 
7.3%
9 216
 
2.2%
1 103
 
1.0%
ValueCountFrequency (%)
0 8900
89.5%
1 103
 
1.0%
8 730
 
7.3%
9 216
 
2.2%
ValueCountFrequency (%)
9 216
 
2.2%
8 730
 
7.3%
1 103
 
1.0%
0 8900
89.5%

n12
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.019298422
Minimum0
Maximum9
Zeros6526
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:47.540496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.354667846
Coefficient of variation (CV)2.310086816
Kurtosis5.361909963
Mean1.019298422
Median Absolute Deviation (MAD)0
Skewness2.646024059
Sum10141
Variance5.544460666
MonotonicityNot monotonic
2023-03-22T13:08:47.640102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6526
65.6%
1 2492
 
25.0%
8 730
 
7.3%
9 201
 
2.0%
ValueCountFrequency (%)
0 6526
65.6%
1 2492
 
25.0%
8 730
 
7.3%
9 201
 
2.0%
ValueCountFrequency (%)
9 201
 
2.0%
8 730
 
7.3%
1 2492
 
25.0%
0 6526
65.6%

n14
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.158307368
Minimum0
Maximum9
Zeros999
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:47.747190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.211917174
Coefficient of variation (CV)0.5215584384
Kurtosis-0.5720204458
Mean6.158307368
Median Absolute Deviation (MAD)0
Skewness-1.181109238
Sum61269
Variance10.31641193
MonotonicityNot monotonic
2023-03-22T13:08:47.853500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7457
75.0%
1 1478
 
14.9%
0 999
 
10.0%
9 15
 
0.2%
ValueCountFrequency (%)
0 999
 
10.0%
1 1478
 
14.9%
8 7457
75.0%
9 15
 
0.2%
ValueCountFrequency (%)
9 15
 
0.2%
8 7457
75.0%
1 1478
 
14.9%
0 999
 
10.0%

n14_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.070057292
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:47.965075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.234092902
Coefficient of variation (CV)0.3159936066
Kurtosis2.065322363
Mean7.070057292
Median Absolute Deviation (MAD)0
Skewness-2.003204426
Sum70340
Variance4.991171096
MonotonicityNot monotonic
2023-03-22T13:08:48.073049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8471
85.1%
2 1086
 
10.9%
1 391
 
3.9%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 391
 
3.9%
2 1086
 
10.9%
8 8471
85.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 8471
85.1%
2 1086
 
10.9%
1 391
 
3.9%

n15
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08674238617
Minimum0
Maximum9
Zeros9662
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:48.196340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7748134476
Coefficient of variation (CV)8.93235109
Kurtosis123.8692068
Mean0.08674238617
Median Absolute Deviation (MAD)0
Skewness11.05455168
Sum863
Variance0.6003358786
MonotonicityNot monotonic
2023-03-22T13:08:48.296963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9662
97.1%
1 215
 
2.2%
9 72
 
0.7%
ValueCountFrequency (%)
0 9662
97.1%
1 215
 
2.2%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
1 215
 
2.2%
0 9662
97.1%

n16
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.352799276
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:48.404926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.124071995
Coefficient of variation (CV)0.4777594106
Kurtosis15.44607995
Mean2.352799276
Median Absolute Deviation (MAD)0
Skewness3.138766418
Sum23408
Variance1.263537851
MonotonicityNot monotonic
2023-03-22T13:08:48.522139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5818
58.5%
3 2106
 
21.2%
1 1166
 
11.7%
4 575
 
5.8%
5 142
 
1.4%
9 142
 
1.4%
ValueCountFrequency (%)
1 1166
 
11.7%
2 5818
58.5%
3 2106
 
21.2%
4 575
 
5.8%
5 142
 
1.4%
ValueCountFrequency (%)
9 142
 
1.4%
5 142
 
1.4%
4 575
 
5.8%
3 2106
 
21.2%
2 5818
58.5%

n17
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4244647703
Minimum0
Maximum9
Zeros6814
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:48.650861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.108439192
Coefficient of variation (CV)2.611380895
Kurtosis46.04325532
Mean0.4244647703
Median Absolute Deviation (MAD)0
Skewness6.335702835
Sum4223
Variance1.228637442
MonotonicityNot monotonic
2023-03-22T13:08:48.751286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6814
68.5%
1 2999
30.1%
9 136
 
1.4%
ValueCountFrequency (%)
0 6814
68.5%
1 2999
30.1%
9 136
 
1.4%
ValueCountFrequency (%)
9 136
 
1.4%
1 2999
30.1%
0 6814
68.5%

n18
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2635440748
Minimum0
Maximum9
Zeros8023
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:48.859512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9076245987
Coefficient of variation (CV)3.443919578
Kurtosis72.20604424
Mean0.2635440748
Median Absolute Deviation (MAD)0
Skewness7.880165148
Sum2622
Variance0.8237824121
MonotonicityNot monotonic
2023-03-22T13:08:48.959796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8023
80.6%
1 1839
 
18.5%
9 87
 
0.9%
ValueCountFrequency (%)
0 8023
80.6%
1 1839
 
18.5%
9 87
 
0.9%
ValueCountFrequency (%)
9 87
 
0.9%
1 1839
 
18.5%
0 8023
80.6%

n19
Real number (ℝ)

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.6901196
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:49.083944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation341.5851121
Coefficient of variation (CV)0.4694101278
Kurtosis0.7329850766
Mean727.6901196
Median Absolute Deviation (MAD)0
Skewness-1.652163275
Sum7239789
Variance116680.3888
MonotonicityNot monotonic
2023-03-22T13:08:49.220267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
888 8110
81.5%
1 1016
 
10.2%
2 374
 
3.8%
3 189
 
1.9%
4 70
 
0.7%
5 61
 
0.6%
999 34
 
0.3%
6 26
 
0.3%
10 22
 
0.2%
8 13
 
0.1%
Other values (14) 34
 
0.3%
ValueCountFrequency (%)
1 1016
10.2%
2 374
 
3.8%
3 189
 
1.9%
4 70
 
0.7%
5 61
 
0.6%
ValueCountFrequency (%)
999 34
 
0.3%
888 8110
81.5%
88 1
 
< 0.1%
50 2
 
< 0.1%
49 1
 
< 0.1%

n20
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.794351191
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:49.340922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.547246409
Coefficient of variation (CV)0.3749064977
Kurtosis0.8204534764
Mean6.794351191
Median Absolute Deviation (MAD)0
Skewness-1.662656652
Sum67597
Variance6.488464268
MonotonicityNot monotonic
2023-03-22T13:08:49.450749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 8110
81.5%
1 1075
 
10.8%
2 662
 
6.7%
3 100
 
1.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 1075
 
10.8%
2 662
 
6.7%
3 100
 
1.0%
8 8110
81.5%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 8110
81.5%
3 100
 
1.0%
2 662
 
6.7%
1 1075
 
10.8%

n21
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.527791738
Minimum0
Maximum9
Zeros1782
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:49.572888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.093983642
Coefficient of variation (CV)0.4739709486
Kurtosis0.6499685618
Mean6.527791738
Median Absolute Deviation (MAD)0
Skewness-1.626901712
Sum64945
Variance9.572734779
MonotonicityNot monotonic
2023-03-22T13:08:49.672584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8110
81.5%
0 1782
 
17.9%
1 56
 
0.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 1782
 
17.9%
1 56
 
0.6%
8 8110
81.5%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 8110
81.5%
1 56
 
0.6%
0 1782
 
17.9%

n22
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.959292391
Minimum0
Maximum8
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:49.779601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5446041027
Coefficient of variation (CV)0.06842368341
Kurtosis181.3162028
Mean7.959292391
Median Absolute Deviation (MAD)0
Skewness-13.46497531
Sum79187
Variance0.2965936287
MonotonicityNot monotonic
2023-03-22T13:08:49.892375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9893
99.4%
0 27
 
0.3%
1 15
 
0.2%
2 14
 
0.1%
ValueCountFrequency (%)
0 27
 
0.3%
1 15
 
0.2%
2 14
 
0.1%
8 9893
99.4%
ValueCountFrequency (%)
8 9893
99.4%
2 14
 
0.1%
1 15
 
0.2%
0 27
 
0.3%

n23
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.531008142
Minimum0
Maximum8
Zeros1742
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:50.015129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.086536453
Coefficient of variation (CV)0.4725972448
Kurtosis0.6540018753
Mean6.531008142
Median Absolute Deviation (MAD)0
Skewness-1.627519648
Sum64977
Variance9.526707277
MonotonicityNot monotonic
2023-03-22T13:08:50.124511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 8110
81.5%
0 1742
 
17.5%
1 97
 
1.0%
ValueCountFrequency (%)
0 1742
 
17.5%
1 97
 
1.0%
8 8110
81.5%
ValueCountFrequency (%)
8 8110
81.5%
1 97
 
1.0%
0 1742
 
17.5%

n24
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07508292291
Minimum0
Maximum9
Zeros9791
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:50.244555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.770179083
Coefficient of variation (CV)10.25771312
Kurtosis127.6550613
Mean0.07508292291
Median Absolute Deviation (MAD)0
Skewness11.29695267
Sum747
Variance0.5931758199
MonotonicityNot monotonic
2023-03-22T13:08:50.346410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 9791
98.4%
1 73
 
0.7%
9 72
 
0.7%
2 13
 
0.1%
ValueCountFrequency (%)
0 9791
98.4%
1 73
 
0.7%
2 13
 
0.1%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
2 13
 
0.1%
1 73
 
0.7%
0 9791
98.4%

n25_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.933360137
Minimum0
Maximum9
Zeros77
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:50.455792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7249930861
Coefficient of variation (CV)0.09138537437
Kurtosis113.9372474
Mean7.933360137
Median Absolute Deviation (MAD)0
Skewness-10.75823062
Sum78929
Variance0.5256149749
MonotonicityNot monotonic
2023-03-22T13:08:50.557588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9863
99.1%
0 77
 
0.8%
1 7
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 77
 
0.8%
1 7
 
0.1%
8 9863
99.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9863
99.1%
1 7
 
0.1%
0 77
 
0.8%

n25_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.937179616
Minimum0
Maximum9
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:50.667241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6846981423
Coefficient of variation (CV)0.08626466521
Kurtosis115.5322526
Mean7.937179616
Median Absolute Deviation (MAD)0
Skewness-10.81234376
Sum78967
Variance0.468811546
MonotonicityNot monotonic
2023-03-22T13:08:50.769068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9863
99.1%
1 45
 
0.5%
0 39
 
0.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 39
 
0.4%
1 45
 
0.5%
8 9863
99.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9863
99.1%
1 45
 
0.5%
0 39
 
0.4%

n25_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.934968339
Minimum0
Maximum9
Zeros61
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:50.878805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7083087591
Coefficient of variation (CV)0.08926421996
Kurtosis114.8967732
Mean7.934968339
Median Absolute Deviation (MAD)0
Skewness-10.79179111
Sum78945
Variance0.5017012983
MonotonicityNot monotonic
2023-03-22T13:08:50.982793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9863
99.1%
0 61
 
0.6%
1 23
 
0.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 61
 
0.6%
1 23
 
0.2%
8 9863
99.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9863
99.1%
1 23
 
0.2%
0 61
 
0.6%

n26
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07729420042
Minimum0
Maximum9
Zeros9760
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:51.092433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7628776995
Coefficient of variation (CV)9.86979224
Kurtosis128.8638716
Mean0.07729420042
Median Absolute Deviation (MAD)0
Skewness11.30972125
Sum769
Variance0.5819823844
MonotonicityNot monotonic
2023-03-22T13:08:51.194221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 9760
98.1%
1 99
 
1.0%
9 70
 
0.7%
2 20
 
0.2%
ValueCountFrequency (%)
0 9760
98.1%
1 99
 
1.0%
2 20
 
0.2%
9 70
 
0.7%
ValueCountFrequency (%)
9 70
 
0.7%
2 20
 
0.2%
1 99
 
1.0%
0 9760
98.1%

n27
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.426676048
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:51.303603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.221529828
Coefficient of variation (CV)0.8562068661
Kurtosis19.94156481
Mean1.426676048
Median Absolute Deviation (MAD)0
Skewness4.168572228
Sum14194
Variance1.49213512
MonotonicityNot monotonic
2023-03-22T13:08:51.415693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 8081
81.2%
2 939
 
9.4%
3 451
 
4.5%
5 190
 
1.9%
9 136
 
1.4%
4 102
 
1.0%
6 50
 
0.5%
ValueCountFrequency (%)
1 8081
81.2%
2 939
 
9.4%
3 451
 
4.5%
4 102
 
1.0%
5 190
 
1.9%
ValueCountFrequency (%)
9 136
 
1.4%
6 50
 
0.5%
5 190
1.9%
4 102
 
1.0%
3 451
4.5%

n28
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5815659865
Minimum0
Maximum9
Zeros4750
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:51.539071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8756099145
Coefficient of variation (CV)1.505607162
Kurtosis59.00523338
Mean0.5815659865
Median Absolute Deviation (MAD)0
Skewness6.354386448
Sum5786
Variance0.7666927223
MonotonicityNot monotonic
2023-03-22T13:08:51.640880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5116
51.4%
0 4750
47.7%
9 72
 
0.7%
2 11
 
0.1%
ValueCountFrequency (%)
0 4750
47.7%
1 5116
51.4%
2 11
 
0.1%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
2 11
 
0.1%
1 5116
51.4%
0 4750
47.7%

n29
Real number (ℝ)

Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean551.4102925
Minimum0
Maximum999
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:51.783430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39
Q156
median888
Q3888
95-th percentile999
Maximum999
Range999
Interquartile range (IQR)832

Descriptive statistics

Standard deviation422.207129
Coefficient of variation (CV)0.7656859779
Kurtosis-1.866600535
Mean551.4102925
Median Absolute Deviation (MAD)111
Skewness-0.3239817922
Sum5485981
Variance178258.8598
MonotonicityNot monotonic
2023-03-22T13:08:51.955435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 4833
48.6%
999 977
 
9.8%
50 469
 
4.7%
60 344
 
3.5%
40 232
 
2.3%
55 195
 
2.0%
45 194
 
1.9%
65 118
 
1.2%
52 113
 
1.1%
70 113
 
1.1%
Other values (82) 2361
23.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 7
0.1%
2 6
0.1%
3 4
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
999 977
 
9.8%
888 4833
48.6%
98 1
 
< 0.1%
96 2
 
< 0.1%
94 1
 
< 0.1%

n30
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.764297919
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:52.094724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.235873363
Coefficient of variation (CV)0.6791920693
Kurtosis-1.898127297
Mean4.764297919
Median Absolute Deviation (MAD)3
Skewness-0.06025469675
Sum47400
Variance10.47087642
MonotonicityNot monotonic
2023-03-22T13:08:52.209156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 4833
48.6%
1 2883
29.0%
2 1383
 
13.9%
3 501
 
5.0%
4 257
 
2.6%
5 68
 
0.7%
9 24
 
0.2%
ValueCountFrequency (%)
1 2883
29.0%
2 1383
13.9%
3 501
 
5.0%
4 257
 
2.6%
5 68
 
0.7%
ValueCountFrequency (%)
9 24
 
0.2%
8 4833
48.6%
5 68
 
0.7%
4 257
 
2.6%
3 501
 
5.0%

n31
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.370791034
Minimum0
Maximum9
Zeros327
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:52.336428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.535635576
Coefficient of variation (CV)0.8089234988
Kurtosis-1.985629652
Mean4.370791034
Median Absolute Deviation (MAD)1
Skewness0.04743081578
Sum43485
Variance12.50071893
MonotonicityNot monotonic
2023-03-22T13:08:52.438602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 4833
48.6%
1 4785
48.1%
0 327
 
3.3%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 327
 
3.3%
1 4785
48.1%
8 4833
48.6%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 4833
48.6%
1 4785
48.1%
0 327
 
3.3%

n32
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.252286662
Minimum0
Maximum9
Zeros3871
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:52.548205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.912913581
Coefficient of variation (CV)0.9201904509
Kurtosis-1.975184691
Mean4.252286662
Median Absolute Deviation (MAD)0
Skewness-0.09372092212
Sum42306
Variance15.31089269
MonotonicityNot monotonic
2023-03-22T13:08:52.649756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 5164
51.9%
0 3871
38.9%
1 904
 
9.1%
9 10
 
0.1%
ValueCountFrequency (%)
0 3871
38.9%
1 904
 
9.1%
8 5164
51.9%
9 10
 
0.1%
ValueCountFrequency (%)
9 10
 
0.1%
8 5164
51.9%
1 904
 
9.1%
0 3871
38.9%

n33
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.243240527
Minimum0
Maximum9
Zeros4025
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:52.759401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.92894466
Coefficient of variation (CV)0.9259302261
Kurtosis-1.977408266
Mean4.243240527
Median Absolute Deviation (MAD)0
Skewness-0.09464145162
Sum42216
Variance15.43660614
MonotonicityNot monotonic
2023-03-22T13:08:52.861235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 5164
51.9%
0 4025
40.5%
1 742
 
7.5%
9 18
 
0.2%
ValueCountFrequency (%)
0 4025
40.5%
1 742
 
7.5%
8 5164
51.9%
9 18
 
0.2%
ValueCountFrequency (%)
9 18
 
0.2%
8 5164
51.9%
1 742
 
7.5%
0 4025
40.5%

n34
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.919187858
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:52.970203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.604020476
Coefficient of variation (CV)0.8357808589
Kurtosis5.730295904
Mean1.919187858
Median Absolute Deviation (MAD)0
Skewness2.28998751
Sum19094
Variance2.572881689
MonotonicityNot monotonic
2023-03-22T13:08:53.082240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 6214
62.5%
2 1431
 
14.4%
3 1065
 
10.7%
5 462
 
4.6%
4 343
 
3.4%
6 255
 
2.6%
9 179
 
1.8%
ValueCountFrequency (%)
1 6214
62.5%
2 1431
 
14.4%
3 1065
 
10.7%
4 343
 
3.4%
5 462
 
4.6%
ValueCountFrequency (%)
9 179
 
1.8%
6 255
 
2.6%
5 462
4.6%
4 343
 
3.4%
3 1065
10.7%

n35
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2735953362
Minimum0
Maximum9
Zeros8062
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:53.205410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9757449236
Coefficient of variation (CV)3.566379958
Kurtosis63.98202192
Mean0.2735953362
Median Absolute Deviation (MAD)0
Skewness7.537305169
Sum2722
Variance0.9520781559
MonotonicityNot monotonic
2023-03-22T13:08:53.308697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8062
81.0%
1 1780
 
17.9%
9 104
 
1.0%
2 3
 
< 0.1%
ValueCountFrequency (%)
0 8062
81.0%
1 1780
 
17.9%
2 3
 
< 0.1%
9 104
 
1.0%
ValueCountFrequency (%)
9 104
 
1.0%
2 3
 
< 0.1%
1 1780
 
17.9%
0 8062
81.0%

n36
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766.0621168
Minimum0
Maximum999
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:53.451189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation299.3415925
Coefficient of variation (CV)0.3907536816
Kurtosis1.805566668
Mean766.0621168
Median Absolute Deviation (MAD)0
Skewness-1.940578308
Sum7621552
Variance89605.38898
MonotonicityNot monotonic
2023-03-22T13:08:53.621286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 8169
82.1%
999 284
 
2.9%
60 148
 
1.5%
50 106
 
1.1%
55 65
 
0.7%
65 64
 
0.6%
52 58
 
0.6%
58 53
 
0.5%
40 46
 
0.5%
45 45
 
0.5%
Other values (70) 911
 
9.2%
ValueCountFrequency (%)
0 5
0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 3
< 0.1%
ValueCountFrequency (%)
999 284
 
2.9%
888 8169
82.1%
91 1
 
< 0.1%
87 2
 
< 0.1%
85 3
 
< 0.1%

n37
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.916272992
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:53.758027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.370897625
Coefficient of variation (CV)0.3427998906
Kurtosis1.391121513
Mean6.916272992
Median Absolute Deviation (MAD)0
Skewness-1.800372563
Sum68810
Variance5.621155549
MonotonicityNot monotonic
2023-03-22T13:08:53.869832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 8169
82.1%
1 800
 
8.0%
2 556
 
5.6%
3 217
 
2.2%
4 164
 
1.6%
5 37
 
0.4%
9 6
 
0.1%
ValueCountFrequency (%)
1 800
8.0%
2 556
5.6%
3 217
 
2.2%
4 164
 
1.6%
5 37
 
0.4%
ValueCountFrequency (%)
9 6
 
0.1%
8 8169
82.1%
5 37
 
0.4%
4 164
 
1.6%
3 217
 
2.2%

n38_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.678359634
Minimum0
Maximum9
Zeros729
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:53.992849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.845307207
Coefficient of variation (CV)0.4260488148
Kurtosis0.9319192728
Mean6.678359634
Median Absolute Deviation (MAD)0
Skewness-1.70109817
Sum66443
Variance8.095773103
MonotonicityNot monotonic
2023-03-22T13:08:54.092971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8169
82.1%
1 1046
 
10.5%
0 729
 
7.3%
9 5
 
0.1%
ValueCountFrequency (%)
0 729
 
7.3%
1 1046
 
10.5%
8 8169
82.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 8169
82.1%
1 1046
 
10.5%
0 729
 
7.3%

n38_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.604080812
Minimum0
Maximum9
Zeros1468
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:54.200059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.001364693
Coefficient of variation (CV)0.4544712244
Kurtosis0.8742704669
Mean6.604080812
Median Absolute Deviation (MAD)0
Skewness-1.690427112
Sum65704
Variance9.00819002
MonotonicityNot monotonic
2023-03-22T13:08:54.299620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8169
82.1%
0 1468
 
14.8%
1 307
 
3.1%
9 5
 
0.1%
ValueCountFrequency (%)
0 1468
 
14.8%
1 307
 
3.1%
8 8169
82.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 8169
82.1%
1 307
 
3.1%
0 1468
 
14.8%

n38_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.711830335
Minimum0
Maximum9
Zeros396
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:54.406758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.771465872
Coefficient of variation (CV)0.4129225164
Kurtosis0.9101422712
Mean6.711830335
Median Absolute Deviation (MAD)0
Skewness-1.696460055
Sum66776
Variance7.681023077
MonotonicityNot monotonic
2023-03-22T13:08:54.506563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8169
82.1%
1 1379
 
13.9%
0 396
 
4.0%
9 5
 
0.1%
ValueCountFrequency (%)
0 396
 
4.0%
1 1379
 
13.9%
8 8169
82.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 8169
82.1%
1 1379
 
13.9%
0 396
 
4.0%

n38_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.605990552
Minimum0
Maximum9
Zeros1449
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:54.613590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.997477209
Coefficient of variation (CV)0.4537513618
Kurtosis0.8770403509
Mean6.605990552
Median Absolute Deviation (MAD)0
Skewness-1.690978033
Sum65723
Variance8.984869618
MonotonicityNot monotonic
2023-03-22T13:08:54.713363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8169
82.1%
0 1449
 
14.6%
1 326
 
3.3%
9 5
 
0.1%
ValueCountFrequency (%)
0 1449
 
14.6%
1 326
 
3.3%
8 8169
82.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 8169
82.1%
1 326
 
3.3%
0 1449
 
14.6%

n38_5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.576841894
Minimum0
Maximum9
Zeros1739
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:54.820267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.05614439
Coefficient of variation (CV)0.4646826607
Kurtosis0.8295378651
Mean6.576841894
Median Absolute Deviation (MAD)0
Skewness-1.681340003
Sum65433
Variance9.340018534
MonotonicityNot monotonic
2023-03-22T13:08:54.919858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8169
82.1%
0 1739
 
17.5%
1 36
 
0.4%
9 5
 
0.1%
ValueCountFrequency (%)
0 1739
 
17.5%
1 36
 
0.4%
8 8169
82.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 8169
82.1%
1 36
 
0.4%
0 1739
 
17.5%

n39
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.908835059
Minimum0
Maximum9
Zeros1211
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:55.026718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.724487118
Coefficient of variation (CV)0.3943482649
Kurtosis2.429690623
Mean6.908835059
Median Absolute Deviation (MAD)0
Skewness-2.101321429
Sum68736
Variance7.422830056
MonotonicityNot monotonic
2023-03-22T13:08:55.126239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8570
86.1%
0 1211
 
12.2%
1 167
 
1.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 1211
 
12.2%
1 167
 
1.7%
8 8570
86.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 8570
86.1%
1 167
 
1.7%
0 1211
 
12.2%

n40
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.911649412
Minimum0
Maximum9
Zeros1215
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:55.234212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.723177482
Coefficient of variation (CV)0.393998208
Kurtosis2.447818196
Mean6.911649412
Median Absolute Deviation (MAD)0
Skewness-2.105623911
Sum68764
Variance7.4156956
MonotonicityNot monotonic
2023-03-22T13:08:55.334357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8570
86.1%
0 1215
 
12.2%
1 159
 
1.6%
9 5
 
0.1%
ValueCountFrequency (%)
0 1215
 
12.2%
1 159
 
1.6%
8 8570
86.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 8570
86.1%
1 159
 
1.6%
0 1215
 
12.2%

n41
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.183435521
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:55.442043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.974155242
Coefficient of variation (CV)0.2748204861
Kurtosis3.688364913
Mean7.183435521
Median Absolute Deviation (MAD)0
Skewness-2.264806256
Sum71468
Variance3.89728892
MonotonicityNot monotonic
2023-03-22T13:08:55.556039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 8169
82.1%
1 516
 
5.2%
6 316
 
3.2%
3 289
 
2.9%
5 274
 
2.8%
2 199
 
2.0%
4 121
 
1.2%
9 65
 
0.7%
ValueCountFrequency (%)
1 516
5.2%
2 199
 
2.0%
3 289
2.9%
4 121
 
1.2%
5 274
2.8%
ValueCountFrequency (%)
9 65
 
0.7%
8 8169
82.1%
6 316
 
3.2%
5 274
 
2.8%
4 121
 
1.2%

n42
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.310181928
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:55.679981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.781623869
Coefficient of variation (CV)0.24371813
Kurtosis6.047076058
Mean7.310181928
Median Absolute Deviation (MAD)0
Skewness-2.672418641
Sum72729
Variance3.174183612
MonotonicityNot monotonic
2023-03-22T13:08:55.794623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 8169
82.1%
6 803
 
8.1%
1 462
 
4.6%
2 141
 
1.4%
3 137
 
1.4%
5 116
 
1.2%
9 68
 
0.7%
4 53
 
0.5%
ValueCountFrequency (%)
1 462
4.6%
2 141
 
1.4%
3 137
 
1.4%
4 53
 
0.5%
5 116
 
1.2%
ValueCountFrequency (%)
9 68
 
0.7%
8 8169
82.1%
6 803
 
8.1%
5 116
 
1.2%
4 53
 
0.5%

n43
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011659463
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:55.917897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.673027093
Coefficient of variation (CV)0.8316651616
Kurtosis5.147338005
Mean2.011659463
Median Absolute Deviation (MAD)0
Skewness2.177884427
Sum20014
Variance2.799019652
MonotonicityNot monotonic
2023-03-22T13:08:56.036595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5909
59.4%
2 1473
 
14.8%
3 1192
 
12.0%
5 523
 
5.3%
4 399
 
4.0%
6 235
 
2.4%
9 218
 
2.2%
ValueCountFrequency (%)
1 5909
59.4%
2 1473
 
14.8%
3 1192
 
12.0%
4 399
 
4.0%
5 523
 
5.3%
ValueCountFrequency (%)
9 218
 
2.2%
6 235
 
2.4%
5 523
5.3%
4 399
 
4.0%
3 1192
12.0%

n44
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3807417831
Minimum0
Maximum9
Zeros7561
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:56.166850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.225719147
Coefficient of variation (CV)3.219292448
Kurtosis40.06143418
Mean0.3807417831
Median Absolute Deviation (MAD)0
Skewness6.124145682
Sum3788
Variance1.502387427
MonotonicityNot monotonic
2023-03-22T13:08:56.267491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7561
76.0%
1 2213
 
22.2%
9 175
 
1.8%
ValueCountFrequency (%)
0 7561
76.0%
1 2213
 
22.2%
9 175
 
1.8%
ValueCountFrequency (%)
9 175
 
1.8%
1 2213
 
22.2%
0 7561
76.0%

n45
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean742.0465373
Minimum0
Maximum999
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:56.410364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation322.7735652
Coefficient of variation (CV)0.4349775235
Kurtosis0.7170215655
Mean742.0465373
Median Absolute Deviation (MAD)0
Skewness-1.636036525
Sum7382621
Variance104182.7744
MonotonicityNot monotonic
2023-03-22T13:08:56.580392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 7736
77.8%
999 409
 
4.1%
60 163
 
1.6%
50 142
 
1.4%
55 113
 
1.1%
65 75
 
0.8%
58 68
 
0.7%
53 67
 
0.7%
56 65
 
0.7%
57 64
 
0.6%
Other values (70) 1047
 
10.5%
ValueCountFrequency (%)
0 4
< 0.1%
1 3
< 0.1%
2 2
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
999 409
 
4.1%
888 7736
77.8%
99 1
 
< 0.1%
97 1
 
< 0.1%
96 1
 
< 0.1%

n46
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1085536235
Minimum0
Maximum9
Zeros9453
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:56.716913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7906496496
Coefficient of variation (CV)7.283493855
Kurtosis114.5044852
Mean0.1085536235
Median Absolute Deviation (MAD)0
Skewness10.49702852
Sum1080
Variance0.6251268684
MonotonicityNot monotonic
2023-03-22T13:08:56.817340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9453
95.0%
1 423
 
4.3%
9 73
 
0.7%
ValueCountFrequency (%)
0 9453
95.0%
1 423
 
4.3%
9 73
 
0.7%
ValueCountFrequency (%)
9 73
 
0.7%
1 423
 
4.3%
0 9453
95.0%

n47
Real number (ℝ)

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean856.6349382
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:56.959498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation159.5323918
Coefficient of variation (CV)0.1862314794
Kurtosis21.02869703
Mean856.6349382
Median Absolute Deviation (MAD)0
Skewness-4.790476663
Sum8522661
Variance25450.58405
MonotonicityNot monotonic
2023-03-22T13:08:57.131282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9526
95.7%
999 41
 
0.4%
60 22
 
0.2%
55 21
 
0.2%
65 17
 
0.2%
54 16
 
0.2%
50 15
 
0.2%
52 14
 
0.1%
58 12
 
0.1%
51 11
 
0.1%
Other values (54) 254
 
2.6%
ValueCountFrequency (%)
1 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
999 41
 
0.4%
888 9526
95.7%
92 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%

n47_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.672630415
Minimum0
Maximum9
Zeros320
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:57.271077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.563453401
Coefficient of variation (CV)0.2037701956
Kurtosis19.00691045
Mean7.672630415
Median Absolute Deviation (MAD)0
Skewness-4.575219012
Sum76335
Variance2.444386536
MonotonicityNot monotonic
2023-03-22T13:08:57.374233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9526
95.7%
0 320
 
3.2%
1 100
 
1.0%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 320
 
3.2%
1 100
 
1.0%
8 9526
95.7%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9526
95.7%
1 100
 
1.0%
0 320
 
3.2%

n47_3
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.16423761
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:57.489510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.406488125
Coefficient of variation (CV)0.09644423396
Kurtosis96.68296609
Mean87.16423761
Median Absolute Deviation (MAD)0
Skewness-9.92006257
Sum867197
Variance70.6690426
MonotonicityNot monotonic
2023-03-22T13:08:57.612468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
88 9846
99.0%
2 52
 
0.5%
3 24
 
0.2%
4 9
 
0.1%
1 6
 
0.1%
99 4
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 6
 
0.1%
2 52
0.5%
3 24
0.2%
4 9
 
0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
88 9846
99.0%
49 1
 
< 0.1%
39 1
 
< 0.1%
15 1
 
< 0.1%

n47_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.691627299
Minimum0
Maximum9
Zeros123
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:57.730916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.471137428
Coefficient of variation (CV)0.1912647832
Kurtosis19.07661617
Mean7.691627299
Median Absolute Deviation (MAD)0
Skewness-4.578208065
Sum76524
Variance2.164245331
MonotonicityNot monotonic
2023-03-22T13:08:57.833389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9526
95.7%
1 298
 
3.0%
0 123
 
1.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 123
 
1.2%
1 298
 
3.0%
8 9526
95.7%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9526
95.7%
1 298
 
3.0%
0 123
 
1.2%

n48
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09578852146
Minimum0
Maximum9
Zeros9676
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:57.942198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8377474692
Coefficient of variation (CV)8.745802278
Kurtosis106.1374115
Mean0.09578852146
Median Absolute Deviation (MAD)0
Skewness10.28396986
Sum953
Variance0.7018208222
MonotonicityNot monotonic
2023-03-22T13:08:58.042495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9676
97.3%
1 188
 
1.9%
9 85
 
0.9%
ValueCountFrequency (%)
0 9676
97.3%
1 188
 
1.9%
9 85
 
0.9%
ValueCountFrequency (%)
9 85
 
0.9%
1 188
 
1.9%
0 9676
97.3%

n49
Real number (ℝ)

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean875.4244648
Minimum5
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:58.184051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range994
Interquartile range (IQR)0

Descriptive statistics

Standard deviation103.1504237
Coefficient of variation (CV)0.1178290393
Kurtosis58.82038028
Mean875.4244648
Median Absolute Deviation (MAD)0
Skewness-7.77664149
Sum8709598
Variance10640.0099
MonotonicityNot monotonic
2023-03-22T13:08:58.356039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
888 9761
98.1%
999 33
 
0.3%
50 14
 
0.1%
56 9
 
0.1%
55 9
 
0.1%
60 8
 
0.1%
65 7
 
0.1%
53 7
 
0.1%
59 5
 
0.1%
62 5
 
0.1%
Other values (39) 91
 
0.9%
ValueCountFrequency (%)
5 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
31 2
< 0.1%
35 2
< 0.1%
ValueCountFrequency (%)
999 33
 
0.3%
888 9761
98.1%
87 1
 
< 0.1%
85 1
 
< 0.1%
83 1
 
< 0.1%

n50
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1304653734
Minimum0
Maximum9
Zeros9427
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:58.494490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9030538339
Coefficient of variation (CV)6.921789363
Kurtosis87.82806261
Mean0.1304653734
Median Absolute Deviation (MAD)0
Skewness9.275562921
Sum1298
Variance0.8155062269
MonotonicityNot monotonic
2023-03-22T13:08:58.594814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9427
94.8%
1 425
 
4.3%
9 97
 
1.0%
ValueCountFrequency (%)
0 9427
94.8%
1 425
 
4.3%
9 97
 
1.0%
ValueCountFrequency (%)
9 97
 
1.0%
1 425
 
4.3%
0 9427
94.8%

n51
Real number (ℝ)

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean858.2401246
Minimum6
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:58.736887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range993
Interquartile range (IQR)0

Descriptive statistics

Standard deviation156.3247509
Coefficient of variation (CV)0.1821457031
Kurtosis22.19132286
Mean858.2401246
Median Absolute Deviation (MAD)0
Skewness-4.906026252
Sum8538631
Variance24437.42776
MonotonicityNot monotonic
2023-03-22T13:08:58.909158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9524
95.7%
999 60
 
0.6%
50 24
 
0.2%
60 16
 
0.2%
70 14
 
0.1%
58 13
 
0.1%
59 13
 
0.1%
65 13
 
0.1%
53 12
 
0.1%
55 12
 
0.1%
Other values (59) 248
 
2.5%
ValueCountFrequency (%)
6 1
< 0.1%
10 2
< 0.1%
11 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
ValueCountFrequency (%)
999 60
 
0.6%
888 9524
95.7%
90 1
 
< 0.1%
88 1
 
< 0.1%
87 1
 
< 0.1%

n51_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.692129862
Minimum0
Maximum9
Zeros112
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:59.048843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.467308744
Coefficient of variation (CV)0.1907545466
Kurtosis19.00094747
Mean7.692129862
Median Absolute Deviation (MAD)0
Skewness-4.570227439
Sum76529
Variance2.152994951
MonotonicityNot monotonic
2023-03-22T13:08:59.150877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9524
95.7%
1 310
 
3.1%
0 112
 
1.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 112
 
1.1%
1 310
 
3.1%
8 9524
95.7%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9524
95.7%
1 310
 
3.1%
0 112
 
1.1%

n52
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1092572118
Minimum0
Maximum9
Zeros9438
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:59.259684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7864093254
Coefficient of variation (CV)7.197779557
Kurtosis115.3807023
Mean0.1092572118
Median Absolute Deviation (MAD)0
Skewness10.52208931
Sum1087
Variance0.6184396271
MonotonicityNot monotonic
2023-03-22T13:08:59.360108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9438
94.9%
1 439
 
4.4%
9 72
 
0.7%
ValueCountFrequency (%)
0 9438
94.9%
1 439
 
4.4%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
1 439
 
4.4%
0 9438
94.9%

n53
Real number (ℝ)

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.3083727
Minimum3
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:59.502159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range996
Interquartile range (IQR)0

Descriptive statistics

Standard deviation162.4001744
Coefficient of variation (CV)0.1898732429
Kurtosis19.936973
Mean855.3083727
Median Absolute Deviation (MAD)0
Skewness-4.675662721
Sum8509463
Variance26373.81664
MonotonicityNot monotonic
2023-03-22T13:08:59.672639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9510
95.6%
999 40
 
0.4%
60 23
 
0.2%
55 18
 
0.2%
68 18
 
0.2%
70 15
 
0.2%
65 14
 
0.1%
72 12
 
0.1%
56 12
 
0.1%
73 11
 
0.1%
Other values (62) 276
 
2.8%
ValueCountFrequency (%)
3 1
 
< 0.1%
14 1
 
< 0.1%
19 1
 
< 0.1%
20 2
< 0.1%
22 3
< 0.1%
ValueCountFrequency (%)
999 40
 
0.4%
888 9510
95.6%
106 1
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%

n53_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.660367876
Minimum0
Maximum9
Zeros330
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:08:59.810211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.590627171
Coefficient of variation (CV)0.2076437055
Kurtosis18.13401248
Mean7.660367876
Median Absolute Deviation (MAD)0
Skewness-4.478976348
Sum76213
Variance2.530094798
MonotonicityNot monotonic
2023-03-22T13:08:59.910086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9510
95.6%
0 330
 
3.3%
1 106
 
1.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 330
 
3.3%
1 106
 
1.1%
8 9510
95.6%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9510
95.6%
1 106
 
1.1%
0 330
 
3.3%

n53_3
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.2892753
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:00.021411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.56764016
Coefficient of variation (CV)0.2084208234
Kurtosis18.2957671
Mean84.2892753
Median Absolute Deviation (MAD)0
Skewness-4.502810694
Sum838594
Variance308.6219809
MonotonicityNot monotonic
2023-03-22T13:09:00.139583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
88 9510
95.6%
1 316
 
3.2%
2 67
 
0.7%
3 26
 
0.3%
4 11
 
0.1%
99 11
 
0.1%
5 5
 
0.1%
8 1
 
< 0.1%
13 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 316
3.2%
2 67
 
0.7%
3 26
 
0.3%
4 11
 
0.1%
5 5
 
0.1%
ValueCountFrequency (%)
99 11
 
0.1%
88 9510
95.6%
13 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%

n53_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.67514323
Minimum0
Maximum9
Zeros183
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:00.254090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.522583742
Coefficient of variation (CV)0.1983785443
Kurtosis18.28701888
Mean7.67514323
Median Absolute Deviation (MAD)0
Skewness-4.490726438
Sum76360
Variance2.318261251
MonotonicityNot monotonic
2023-03-22T13:09:00.353981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9510
95.6%
1 253
 
2.5%
0 183
 
1.8%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 183
 
1.8%
1 253
 
2.5%
8 9510
95.6%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9510
95.6%
1 253
 
2.5%
0 183
 
1.8%

n53_5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.676751432
Minimum0
Maximum9
Zeros167
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:00.461017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.51498455
Coefficient of variation (CV)0.1973470893
Kurtosis18.28283729
Mean7.676751432
Median Absolute Deviation (MAD)0
Skewness-4.490257797
Sum76376
Variance2.295178187
MonotonicityNot monotonic
2023-03-22T13:09:00.560464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9510
95.6%
1 269
 
2.7%
0 167
 
1.7%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 167
 
1.7%
1 269
 
2.7%
8 9510
95.6%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9510
95.6%
1 269
 
2.7%
0 167
 
1.7%

n53_6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.654136094
Minimum0
Maximum8
Zeros368
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:00.666685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.611705844
Coefficient of variation (CV)0.2105666563
Kurtosis17.90456959
Mean7.654136094
Median Absolute Deviation (MAD)0
Skewness-4.455984527
Sum76151
Variance2.597595728
MonotonicityNot monotonic
2023-03-22T13:09:00.775935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9510
95.6%
0 368
 
3.7%
1 71
 
0.7%
ValueCountFrequency (%)
0 368
 
3.7%
1 71
 
0.7%
8 9510
95.6%
ValueCountFrequency (%)
8 9510
95.6%
1 71
 
0.7%
0 368
 
3.7%

n54
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09659262237
Minimum0
Maximum9
Zeros9572
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:00.895067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.784613705
Coefficient of variation (CV)8.122915454
Kurtosis118.7978643
Mean0.09659262237
Median Absolute Deviation (MAD)0
Skewness10.76932116
Sum961
Variance0.6156186661
MonotonicityNot monotonic
2023-03-22T13:09:00.995459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9572
96.2%
1 304
 
3.1%
9 73
 
0.7%
ValueCountFrequency (%)
0 9572
96.2%
1 304
 
3.1%
9 73
 
0.7%
ValueCountFrequency (%)
9 73
 
0.7%
1 304
 
3.1%
0 9572
96.2%

n55
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1013167152
Minimum0
Maximum9
Zeros9533
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:01.103693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7916096471
Coefficient of variation (CV)7.81321863
Kurtosis115.9112488
Mean0.1013167152
Median Absolute Deviation (MAD)0
Skewness10.61714039
Sum1008
Variance0.6266458334
MonotonicityNot monotonic
2023-03-22T13:09:01.204030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9533
95.8%
1 342
 
3.4%
9 74
 
0.7%
ValueCountFrequency (%)
0 9533
95.8%
1 342
 
3.4%
9 74
 
0.7%
ValueCountFrequency (%)
9 74
 
0.7%
1 342
 
3.4%
0 9533
95.8%

n55_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07186651925
Minimum0
Maximum9
Zeros9778
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:01.312138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7475745151
Coefficient of variation (CV)10.40226413
Kurtosis136.1662997
Mean0.07186651925
Median Absolute Deviation (MAD)0
Skewness11.66500407
Sum715
Variance0.5588676557
MonotonicityNot monotonic
2023-03-22T13:09:01.412742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9778
98.3%
1 103
 
1.0%
9 68
 
0.7%
ValueCountFrequency (%)
0 9778
98.3%
1 103
 
1.0%
9 68
 
0.7%
ValueCountFrequency (%)
9 68
 
0.7%
1 103
 
1.0%
0 9778
98.3%

n55_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07538446075
Minimum0
Maximum9
Zeros9719
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:01.520615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7349523599
Coefficient of variation (CV)9.749388038
Kurtosis139.195348
Mean0.07538446075
Median Absolute Deviation (MAD)0
Skewness11.73386436
Sum750
Variance0.5401549713
MonotonicityNot monotonic
2023-03-22T13:09:01.622524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9719
97.7%
1 165
 
1.7%
9 65
 
0.7%
ValueCountFrequency (%)
0 9719
97.7%
1 165
 
1.7%
9 65
 
0.7%
ValueCountFrequency (%)
9 65
 
0.7%
1 165
 
1.7%
0 9719
97.7%

n56
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2926927329
Minimum0
Maximum9
Zeros7885
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:01.730891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.987032873
Coefficient of variation (CV)3.372249332
Kurtosis61.62868549
Mean0.2926927329
Median Absolute Deviation (MAD)0
Skewness7.368451679
Sum2912
Variance0.9742338924
MonotonicityNot monotonic
2023-03-22T13:09:01.831534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7885
79.3%
1 1958
 
19.7%
9 106
 
1.1%
ValueCountFrequency (%)
0 7885
79.3%
1 1958
 
19.7%
9 106
 
1.1%
ValueCountFrequency (%)
9 106
 
1.1%
1 1958
 
19.7%
0 7885
79.3%

n57
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2449492411
Minimum0
Maximum9
Zeros8448
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:01.939666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.01576133
Coefficient of variation (CV)4.146823747
Kurtosis61.99459548
Mean0.2449492411
Median Absolute Deviation (MAD)0
Skewness7.577728744
Sum2437
Variance1.03177108
MonotonicityNot monotonic
2023-03-22T13:09:02.040065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8448
84.9%
1 1384
 
13.9%
9 117
 
1.2%
ValueCountFrequency (%)
0 8448
84.9%
1 1384
 
13.9%
9 117
 
1.2%
ValueCountFrequency (%)
9 117
 
1.2%
1 1384
 
13.9%
0 8448
84.9%

n58
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3914966328
Minimum0
Maximum9
Zeros6718
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:02.148217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9159556376
Coefficient of variation (CV)2.339625838
Kurtosis62.21872637
Mean0.3914966328
Median Absolute Deviation (MAD)0
Skewness6.967762501
Sum3895
Variance0.8389747301
MonotonicityNot monotonic
2023-03-22T13:09:02.248773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6718
67.5%
1 3148
31.6%
9 83
 
0.8%
ValueCountFrequency (%)
0 6718
67.5%
1 3148
31.6%
9 83
 
0.8%
ValueCountFrequency (%)
9 83
 
0.8%
1 3148
31.6%
0 6718
67.5%

n59
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1948939592
Minimum0
Maximum9
Zeros8610
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:02.357172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8365098654
Coefficient of variation (CV)4.292128236
Kurtosis89.71725131
Mean0.1948939592
Median Absolute Deviation (MAD)0
Skewness8.896698193
Sum1939
Variance0.6997487548
MonotonicityNot monotonic
2023-03-22T13:09:04.260508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8610
86.5%
1 1264
 
12.7%
9 75
 
0.8%
ValueCountFrequency (%)
0 8610
86.5%
1 1264
 
12.7%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
1 1264
 
12.7%
0 8610
86.5%

n59_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.067946527
Minimum0
Maximum9
Zeros433
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:04.370910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.450557902
Coefficient of variation (CV)0.3467142674
Kurtosis3.16972574
Mean7.067946527
Median Absolute Deviation (MAD)0
Skewness-2.263395168
Sum70319
Variance6.005234032
MonotonicityNot monotonic
2023-03-22T13:09:04.470806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8685
87.3%
1 830
 
8.3%
0 433
 
4.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 433
 
4.4%
1 830
 
8.3%
8 8685
87.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 8685
87.3%
1 830
 
8.3%
0 433
 
4.4%

n59_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1004121017
Minimum0
Maximum9
Zeros9566
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:04.577541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.804758685
Coefficient of variation (CV)8.014558716
Kurtosis112.8807806
Mean0.1004121017
Median Absolute Deviation (MAD)0
Skewness10.51130479
Sum999
Variance0.6476365411
MonotonicityNot monotonic
2023-03-22T13:09:04.678469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9566
96.2%
1 306
 
3.1%
9 77
 
0.8%
ValueCountFrequency (%)
0 9566
96.2%
1 306
 
3.1%
9 77
 
0.8%
ValueCountFrequency (%)
9 77
 
0.8%
1 306
 
3.1%
0 9566
96.2%

n59_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.777465072
Minimum0
Maximum9
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:04.788293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.254397479
Coefficient of variation (CV)0.1612861604
Kurtosis28.17717985
Mean7.777465072
Median Absolute Deviation (MAD)0
Skewness-5.479663431
Sum77378
Variance1.573513035
MonotonicityNot monotonic
2023-03-22T13:09:04.890152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9643
96.9%
1 225
 
2.3%
0 80
 
0.8%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 80
 
0.8%
1 225
 
2.3%
8 9643
96.9%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9643
96.9%
1 225
 
2.3%
0 80
 
0.8%

n60
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09649210976
Minimum0
Maximum9
Zeros9469
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:04.999069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7221137643
Coefficient of variation (CV)7.483656084
Kurtosis136.578941
Mean0.09649210976
Median Absolute Deviation (MAD)0
Skewness11.38801462
Sum960
Variance0.5214482886
MonotonicityNot monotonic
2023-03-22T13:09:05.099708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9469
95.2%
1 420
 
4.2%
9 60
 
0.6%
ValueCountFrequency (%)
0 9469
95.2%
1 420
 
4.2%
9 60
 
0.6%
ValueCountFrequency (%)
9 60
 
0.6%
1 420
 
4.2%
0 9469
95.2%

n60_1
Real number (ℝ)

Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.1498643
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:05.242664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation162.5630024
Coefficient of variation (CV)0.190098846
Kurtosis20.0908267
Mean855.1498643
Median Absolute Deviation (MAD)0
Skewness-4.695072447
Sum8507886
Variance26426.72975
MonotonicityNot monotonic
2023-03-22T13:09:05.415310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9529
95.8%
999 23
 
0.2%
55 20
 
0.2%
60 16
 
0.2%
50 15
 
0.2%
64 15
 
0.2%
56 14
 
0.1%
65 14
 
0.1%
48 14
 
0.1%
61 14
 
0.1%
Other values (56) 275
 
2.8%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
9 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
ValueCountFrequency (%)
999 23
 
0.2%
888 9529
95.8%
92 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%

n60_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.686199618
Minimum0
Maximum8
Zeros182
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:05.554862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.49823362
Coefficient of variation (CV)0.1949251509
Kurtosis19.1762982
Mean7.686199618
Median Absolute Deviation (MAD)0
Skewness-4.588699141
Sum76470
Variance2.244703981
MonotonicityNot monotonic
2023-03-22T13:09:05.666276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9529
95.8%
1 238
 
2.4%
0 182
 
1.8%
ValueCountFrequency (%)
0 182
 
1.8%
1 238
 
2.4%
8 9529
95.8%
ValueCountFrequency (%)
8 9529
95.8%
1 238
 
2.4%
0 182
 
1.8%

n60_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.837169565
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:05.785992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.047342104
Coefficient of variation (CV)0.1336378006
Kurtosis37.54226883
Mean7.837169565
Median Absolute Deviation (MAD)0
Skewness-6.280345898
Sum77972
Variance1.096925482
MonotonicityNot monotonic
2023-03-22T13:09:05.896405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9711
97.6%
1 206
 
2.1%
2 30
 
0.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 206
 
2.1%
2 30
 
0.3%
8 9711
97.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9711
97.6%
2 30
 
0.3%
1 206
 
2.1%

n60_51
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.818976782
Minimum0
Maximum9
Zeros151
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:06.020161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.165142487
Coefficient of variation (CV)0.149014701
Kurtosis37.83253676
Mean7.818976782
Median Absolute Deviation (MAD)0
Skewness-6.297448776
Sum77791
Variance1.357557015
MonotonicityNot monotonic
2023-03-22T13:09:06.121986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9711
97.6%
0 151
 
1.5%
1 85
 
0.9%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 151
 
1.5%
1 85
 
0.9%
8 9711
97.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9711
97.6%
1 85
 
0.9%
0 151
 
1.5%

n60_52
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.824002412
Minimum0
Maximum9
Zeros101
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:06.238619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.133119328
Coefficient of variation (CV)0.1448260453
Kurtosis37.95319931
Mean7.824002412
Median Absolute Deviation (MAD)0
Skewness-6.303756577
Sum77841
Variance1.283959411
MonotonicityNot monotonic
2023-03-22T13:09:06.340392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9711
97.6%
1 135
 
1.4%
0 101
 
1.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 101
 
1.0%
1 135
 
1.4%
8 9711
97.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9711
97.6%
1 135
 
1.4%
0 101
 
1.0%

n60_53
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.818273193
Minimum0
Maximum9
Zeros158
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:06.450046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.169554038
Coefficient of variation (CV)0.1495923728
Kurtosis37.79765544
Mean7.818273193
Median Absolute Deviation (MAD)0
Skewness-6.295458855
Sum77784
Variance1.367856648
MonotonicityNot monotonic
2023-03-22T13:09:06.551914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9711
97.6%
0 158
 
1.6%
1 78
 
0.8%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 158
 
1.6%
1 78
 
0.8%
8 9711
97.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9711
97.6%
1 78
 
0.8%
0 158
 
1.6%

n60_54
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.821690622
Minimum0
Maximum9
Zeros124
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:06.661337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.147963668
Coefficient of variation (CV)0.1467666932
Kurtosis37.92793682
Mean7.821690622
Median Absolute Deviation (MAD)0
Skewness-6.302690171
Sum77818
Variance1.317820583
MonotonicityNot monotonic
2023-03-22T13:09:06.763368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9711
97.6%
0 124
 
1.2%
1 112
 
1.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 124
 
1.2%
1 112
 
1.1%
8 9711
97.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9711
97.6%
1 112
 
1.1%
0 124
 
1.2%

n60_57
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.81314705
Minimum0
Maximum9
Zeros209
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:06.873317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.201193966
Coefficient of variation (CV)0.1537400946
Kurtosis37.4397524
Mean7.81314705
Median Absolute Deviation (MAD)0
Skewness-6.27426513
Sum77733
Variance1.442866945
MonotonicityNot monotonic
2023-03-22T13:09:06.975169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9711
97.6%
0 209
 
2.1%
1 27
 
0.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 209
 
2.1%
1 27
 
0.3%
8 9711
97.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9711
97.6%
1 27
 
0.3%
0 209
 
2.1%

n60_7
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.72550005
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:07.082629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.348625886
Coefficient of variation (CV)0.1745681027
Kurtosis20.08489567
Mean7.72550005
Median Absolute Deviation (MAD)0
Skewness-4.686760929
Sum76861
Variance1.818791781
MonotonicityNot monotonic
2023-03-22T13:09:07.194088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9529
95.8%
1 344
 
3.5%
2 45
 
0.5%
9 17
 
0.2%
3 14
 
0.1%
ValueCountFrequency (%)
1 344
 
3.5%
2 45
 
0.5%
3 14
 
0.1%
8 9529
95.8%
9 17
 
0.2%
ValueCountFrequency (%)
9 17
 
0.2%
8 9529
95.8%
3 14
 
0.1%
2 45
 
0.5%
1 344
 
3.5%

n61
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08473213388
Minimum0
Maximum9
Zeros9650
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:07.318068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7547977366
Coefficient of variation (CV)8.908045885
Kurtosis130.1716286
Mean0.08473213388
Median Absolute Deviation (MAD)0
Skewness11.3060936
Sum843
Variance0.5697196232
MonotonicityNot monotonic
2023-03-22T13:09:07.418744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9650
97.0%
1 231
 
2.3%
9 68
 
0.7%
ValueCountFrequency (%)
0 9650
97.0%
1 231
 
2.3%
9 68
 
0.7%
ValueCountFrequency (%)
9 68
 
0.7%
1 231
 
2.3%
0 9650
97.0%

n61_01
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2240426173
Minimum0
Maximum9
Zeros8344
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:07.526950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.859302382
Coefficient of variation (CV)3.835441632
Kurtosis82.45729944
Mean0.2240426173
Median Absolute Deviation (MAD)0
Skewness8.452124862
Sum2229
Variance0.7384005836
MonotonicityNot monotonic
2023-03-22T13:09:07.627423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8344
83.9%
1 1527
 
15.3%
9 78
 
0.8%
ValueCountFrequency (%)
0 8344
83.9%
1 1527
 
15.3%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 1527
 
15.3%
0 8344
83.9%

n61_04
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.907025832
Minimum0
Maximum9
Zeros409
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:07.736318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.609272517
Coefficient of variation (CV)0.3777707772
Kurtosis1.925990169
Mean6.907025832
Median Absolute Deviation (MAD)0
Skewness-1.970604001
Sum68718
Variance6.808303065
MonotonicityNot monotonic
2023-03-22T13:09:07.835933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8422
84.7%
1 1090
 
11.0%
0 409
 
4.1%
9 28
 
0.3%
ValueCountFrequency (%)
0 409
 
4.1%
1 1090
 
11.0%
8 8422
84.7%
9 28
 
0.3%
ValueCountFrequency (%)
9 28
 
0.3%
8 8422
84.7%
1 1090
 
11.0%
0 409
 
4.1%

n61_05
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1121720776
Minimum0
Maximum9
Zeros9457
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:07.943019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8149448439
Coefficient of variation (CV)7.26513105
Kurtosis108.0497811
Mean0.1121720776
Median Absolute Deviation (MAD)0
Skewness10.22432664
Sum1116
Variance0.6641350987
MonotonicityNot monotonic
2023-03-22T13:09:08.044056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9457
95.1%
1 414
 
4.2%
9 78
 
0.8%
ValueCountFrequency (%)
0 9457
95.1%
1 414
 
4.2%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 414
 
4.2%
0 9457
95.1%

n61_08
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.709820082
Minimum0
Maximum9
Zeros133
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:08.152882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.438291419
Coefficient of variation (CV)0.1865531755
Kurtosis20.57651313
Mean7.709820082
Median Absolute Deviation (MAD)0
Skewness-4.735200955
Sum76705
Variance2.068682205
MonotonicityNot monotonic
2023-03-22T13:09:08.255295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9535
95.8%
1 263
 
2.6%
0 133
 
1.3%
9 18
 
0.2%
ValueCountFrequency (%)
0 133
 
1.3%
1 263
 
2.6%
8 9535
95.8%
9 18
 
0.2%
ValueCountFrequency (%)
9 18
 
0.2%
8 9535
95.8%
1 263
 
2.6%
0 133
 
1.3%

n61_09
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08372700774
Minimum0
Maximum9
Zeros9756
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:08.364530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8097748849
Coefficient of variation (CV)9.671609039
Kurtosis115.2926775
Mean0.08372700774
Median Absolute Deviation (MAD)0
Skewness10.75276402
Sum833
Variance0.6557353641
MonotonicityNot monotonic
2023-03-22T13:09:08.464871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9756
98.1%
1 113
 
1.1%
9 80
 
0.8%
ValueCountFrequency (%)
0 9756
98.1%
1 113
 
1.1%
9 80
 
0.8%
ValueCountFrequency (%)
9 80
 
0.8%
1 113
 
1.1%
0 9756
98.1%

n61_12
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9227058
Minimum0
Maximum9
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:08.573760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7489142899
Coefficient of variation (CV)0.09452759055
Kurtosis89.23794172
Mean7.9227058
Median Absolute Deviation (MAD)0
Skewness-9.524357773
Sum78823
Variance0.5608726136
MonotonicityNot monotonic
2023-03-22T13:09:08.675435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9836
98.9%
1 81
 
0.8%
0 26
 
0.3%
9 6
 
0.1%
ValueCountFrequency (%)
0 26
 
0.3%
1 81
 
0.8%
8 9836
98.9%
9 6
 
0.1%
ValueCountFrequency (%)
9 6
 
0.1%
8 9836
98.9%
1 81
 
0.8%
0 26
 
0.3%

n62
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0708613931
Minimum0
Maximum9
Zeros9788
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:08.784280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7469979267
Coefficient of variation (CV)10.54167712
Kurtosis136.6570336
Mean0.0708613931
Median Absolute Deviation (MAD)0
Skewness11.69414473
Sum705
Variance0.5580059025
MonotonicityNot monotonic
2023-03-22T13:09:08.884605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9788
98.4%
1 93
 
0.9%
9 68
 
0.7%
ValueCountFrequency (%)
0 9788
98.4%
1 93
 
0.9%
9 68
 
0.7%
ValueCountFrequency (%)
9 68
 
0.7%
1 93
 
0.9%
0 9788
98.4%

n63
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07890240225
Minimum0
Maximum9
Zeros9732
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:08.992765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7658696064
Coefficient of variation (CV)9.706543584
Kurtosis128.5034628
Mean0.07890240225
Median Absolute Deviation (MAD)0
Skewness11.30683407
Sum785
Variance0.5865562539
MonotonicityNot monotonic
2023-03-22T13:09:09.093338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9732
97.8%
1 146
 
1.5%
9 71
 
0.7%
ValueCountFrequency (%)
0 9732
97.8%
1 146
 
1.5%
9 71
 
0.7%
ValueCountFrequency (%)
9 71
 
0.7%
1 146
 
1.5%
0 9732
97.8%

n63_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.893758167
Minimum0
Maximum9
Zeros43
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:09.202516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8762779961
Coefficient of variation (CV)0.1110089741
Kurtosis64.78014987
Mean7.893758167
Median Absolute Deviation (MAD)0
Skewness-8.151842129
Sum78535
Variance0.7678631265
MonotonicityNot monotonic
2023-03-22T13:09:09.304258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9803
98.5%
1 102
 
1.0%
0 43
 
0.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 43
 
0.4%
1 102
 
1.0%
8 9803
98.5%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9803
98.5%
1 102
 
1.0%
0 43
 
0.4%

n63_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09126545381
Minimum0
Maximum9
Zeros9601
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:09.412898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7678404177
Coefficient of variation (CV)8.413264665
Kurtosis124.6405502
Mean0.09126545381
Median Absolute Deviation (MAD)0
Skewness11.03691509
Sum908
Variance0.5895789071
MonotonicityNot monotonic
2023-03-22T13:09:09.513392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9601
96.5%
1 278
 
2.8%
9 70
 
0.7%
ValueCountFrequency (%)
0 9601
96.5%
1 278
 
2.8%
9 70
 
0.7%
ValueCountFrequency (%)
9 70
 
0.7%
1 278
 
2.8%
0 9601
96.5%

n63_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.79163735
Minimum0
Maximum9
Zeros151
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:09.623028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.240608638
Coefficient of variation (CV)0.1592230981
Kurtosis31.83324713
Mean7.79163735
Median Absolute Deviation (MAD)0
Skewness-5.801640897
Sum77519
Variance1.539109794
MonotonicityNot monotonic
2023-03-22T13:09:09.725194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9671
97.2%
0 151
 
1.5%
1 124
 
1.2%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 151
 
1.5%
1 124
 
1.2%
8 9671
97.2%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9671
97.2%
1 124
 
1.2%
0 151
 
1.5%

n64
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8446074982
Minimum0
Maximum9
Zeros7858
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:09.833875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.416971956
Coefficient of variation (CV)2.861651076
Kurtosis7.298059931
Mean0.8446074982
Median Absolute Deviation (MAD)0
Skewness3.013852772
Sum8403
Variance5.841753437
MonotonicityNot monotonic
2023-03-22T13:09:09.932239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7858
79.0%
1 1302
 
13.1%
9 789
 
7.9%
ValueCountFrequency (%)
0 7858
79.0%
1 1302
 
13.1%
9 789
 
7.9%
ValueCountFrequency (%)
9 789
 
7.9%
1 1302
 
13.1%
0 7858
79.0%

n65
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.040004021
Minimum0
Maximum9
Zeros6626
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:10.038527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.512575496
Coefficient of variation (CV)2.415928638
Kurtosis5.914675095
Mean1.040004021
Median Absolute Deviation (MAD)0
Skewness2.75965649
Sum10347
Variance6.313035625
MonotonicityNot monotonic
2023-03-22T13:09:10.136949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6626
66.6%
1 2445
 
24.6%
9 878
 
8.8%
ValueCountFrequency (%)
0 6626
66.6%
1 2445
 
24.6%
9 878
 
8.8%
ValueCountFrequency (%)
9 878
 
8.8%
1 2445
 
24.6%
0 6626
66.6%

n66
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.201728817
Minimum0
Maximum9
Zeros9478
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:10.242855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.245261637
Coefficient of variation (CV)6.172948693
Kurtosis45.12988827
Mean0.201728817
Median Absolute Deviation (MAD)0
Skewness6.81201914
Sum2007
Variance1.550676544
MonotonicityNot monotonic
2023-03-22T13:09:10.343289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9478
95.3%
1 279
 
2.8%
9 192
 
1.9%
ValueCountFrequency (%)
0 9478
95.3%
1 279
 
2.8%
9 192
 
1.9%
ValueCountFrequency (%)
9 192
 
1.9%
1 279
 
2.8%
0 9478
95.3%

n67
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7854055684
Minimum0
Maximum9
Zeros2823
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:10.451535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8893802756
Coefficient of variation (CV)1.132383461
Kurtosis60.12757685
Mean0.7854055684
Median Absolute Deviation (MAD)0
Skewness6.627589818
Sum7814
Variance0.7909972747
MonotonicityNot monotonic
2023-03-22T13:09:10.551813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7040
70.8%
0 2823
28.4%
9 86
 
0.9%
ValueCountFrequency (%)
0 2823
28.4%
1 7040
70.8%
9 86
 
0.9%
ValueCountFrequency (%)
9 86
 
0.9%
1 7040
70.8%
0 2823
28.4%

n68
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.7291185
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:10.668814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q113
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)75

Descriptive statistics

Standard deviation36.25574144
Coefficient of variation (CV)0.5515933008
Kurtosis-0.950589255
Mean65.7291185
Median Absolute Deviation (MAD)0
Skewness-1.010914963
Sum653939
Variance1314.478787
MonotonicityNot monotonic
2023-03-22T13:09:10.799745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
88 7126
71.6%
13 581
 
5.8%
1 506
 
5.1%
4 448
 
4.5%
10 406
 
4.1%
12 320
 
3.2%
2 215
 
2.2%
5 99
 
1.0%
11 68
 
0.7%
99 68
 
0.7%
Other values (5) 112
 
1.1%
ValueCountFrequency (%)
1 506
5.1%
2 215
2.2%
3 35
 
0.4%
4 448
4.5%
5 99
 
1.0%
ValueCountFrequency (%)
99 68
 
0.7%
88 7126
71.6%
13 581
 
5.8%
12 320
 
3.2%
11 68
 
0.7%

n68_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5071866519
Minimum0
Maximum9
Zeros8463
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:10.923451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.862987216
Coefficient of variation (CV)3.673178718
Kurtosis16.33522472
Mean0.5071866519
Median Absolute Deviation (MAD)0
Skewness4.223507078
Sum5046
Variance3.470721367
MonotonicityNot monotonic
2023-03-22T13:09:11.021678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8463
85.1%
1 1041
 
10.5%
9 445
 
4.5%
ValueCountFrequency (%)
0 8463
85.1%
1 1041
 
10.5%
9 445
 
4.5%
ValueCountFrequency (%)
9 445
 
4.5%
1 1041
 
10.5%
0 8463
85.1%

n68_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1963011358
Minimum0
Maximum9
Zeros9116
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:11.127403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.082151495
Coefficient of variation (CV)5.512711327
Kurtosis58.7038931
Mean0.1963011358
Median Absolute Deviation (MAD)0
Skewness7.602054879
Sum1953
Variance1.171051858
MonotonicityNot monotonic
2023-03-22T13:09:11.231563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9116
91.6%
1 693
 
7.0%
9 140
 
1.4%
ValueCountFrequency (%)
0 9116
91.6%
1 693
 
7.0%
9 140
 
1.4%
ValueCountFrequency (%)
9 140
 
1.4%
1 693
 
7.0%
0 9116
91.6%

n68_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.677354508
Minimum0
Maximum9
Zeros159
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:11.340603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.569535182
Coefficient of variation (CV)0.2044369816
Kurtosis16.34939163
Mean7.677354508
Median Absolute Deviation (MAD)0
Skewness-4.241632532
Sum76382
Variance2.463440689
MonotonicityNot monotonic
2023-03-22T13:09:11.440215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9256
93.0%
1 309
 
3.1%
9 225
 
2.3%
0 159
 
1.6%
ValueCountFrequency (%)
0 159
 
1.6%
1 309
 
3.1%
8 9256
93.0%
9 225
 
2.3%
ValueCountFrequency (%)
9 225
 
2.3%
8 9256
93.0%
1 309
 
3.1%
0 159
 
1.6%

n69
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3344054679
Minimum0
Maximum9
Zeros8630
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:11.546314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.428022194
Coefficient of variation (CV)4.270331473
Kurtosis31.24044934
Mean0.3344054679
Median Absolute Deviation (MAD)0
Skewness5.638904362
Sum3327
Variance2.039247387
MonotonicityNot monotonic
2023-03-22T13:09:11.646908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8630
86.7%
1 1068
 
10.7%
9 251
 
2.5%
ValueCountFrequency (%)
0 8630
86.7%
1 1068
 
10.7%
9 251
 
2.5%
ValueCountFrequency (%)
9 251
 
2.5%
1 1068
 
10.7%
0 8630
86.7%

n70
Real number (ℝ)

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean804.0957785
Minimum0.5
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:11.778990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile4
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation261.2864572
Coefficient of variation (CV)0.3249444459
Kurtosis5.454847715
Mean804.0957785
Median Absolute Deviation (MAD)0
Skewness-2.7249463
Sum7999948.9
Variance68270.6127
MonotonicityNot monotonic
2023-03-22T13:09:11.931391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
888 8881
89.3%
2 200
 
2.0%
3 199
 
2.0%
5 120
 
1.2%
999 109
 
1.1%
4 104
 
1.0%
6 72
 
0.7%
1 60
 
0.6%
10 57
 
0.6%
8 38
 
0.4%
Other values (26) 109
 
1.1%
ValueCountFrequency (%)
0.5 1
 
< 0.1%
1 60
0.6%
1.3 1
 
< 0.1%
1.5 3
 
< 0.1%
1.8 1
 
< 0.1%
ValueCountFrequency (%)
999 109
 
1.1%
888 8881
89.3%
36 1
 
< 0.1%
32 1
 
< 0.1%
30 3
 
< 0.1%

n71
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.411599156
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:12.058677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.735225456
Coefficient of variation (CV)0.2341229497
Kurtosis4.966080526
Mean7.411599156
Median Absolute Deviation (MAD)0
Skewness-2.619062989
Sum73738
Variance3.011007384
MonotonicityNot monotonic
2023-03-22T13:09:12.169460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 8881
89.3%
2 622
 
6.3%
3 404
 
4.1%
9 24
 
0.2%
1 18
 
0.2%
ValueCountFrequency (%)
1 18
 
0.2%
2 622
 
6.3%
3 404
 
4.1%
8 8881
89.3%
9 24
 
0.2%
ValueCountFrequency (%)
9 24
 
0.2%
8 8881
89.3%
3 404
 
4.1%
2 622
 
6.3%
1 18
 
0.2%

n72
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.752336918
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:12.289421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.515426576
Coefficient of variation (CV)0.8648032012
Kurtosis12.15685373
Mean1.752336918
Median Absolute Deviation (MAD)0
Skewness3.255588227
Sum17434
Variance2.296517709
MonotonicityNot monotonic
2023-03-22T13:09:12.398822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6457
64.9%
2 1787
 
18.0%
3 822
 
8.3%
4 602
 
6.1%
9 281
 
2.8%
ValueCountFrequency (%)
1 6457
64.9%
2 1787
 
18.0%
3 822
 
8.3%
4 602
 
6.1%
9 281
 
2.8%
ValueCountFrequency (%)
9 281
 
2.8%
4 602
 
6.1%
3 822
 
8.3%
2 1787
 
18.0%
1 6457
64.9%

n73
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.787817871
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:12.518905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.497655436
Coefficient of variation (CV)0.8377002269
Kurtosis11.49495334
Mean1.787817871
Median Absolute Deviation (MAD)0
Skewness3.108994569
Sum17787
Variance2.242971806
MonotonicityNot monotonic
2023-03-22T13:09:12.628291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6255
62.9%
2 1831
 
18.4%
3 882
 
8.9%
4 721
 
7.2%
9 260
 
2.6%
ValueCountFrequency (%)
1 6255
62.9%
2 1831
 
18.4%
3 882
 
8.9%
4 721
 
7.2%
9 260
 
2.6%
ValueCountFrequency (%)
9 260
 
2.6%
4 721
 
7.2%
3 882
 
8.9%
2 1831
 
18.4%
1 6255
62.9%

n74
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.523570208
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:12.749979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.167243357
Coefficient of variation (CV)0.4625365102
Kurtosis7.898998309
Mean2.523570208
Median Absolute Deviation (MAD)1
Skewness1.974425326
Sum25107
Variance1.362457055
MonotonicityNot monotonic
2023-03-22T13:09:12.864978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4729
47.5%
3 2338
23.5%
1 1240
 
12.5%
4 1215
 
12.2%
5 327
 
3.3%
9 100
 
1.0%
ValueCountFrequency (%)
1 1240
 
12.5%
2 4729
47.5%
3 2338
23.5%
4 1215
 
12.2%
5 327
 
3.3%
ValueCountFrequency (%)
9 100
 
1.0%
5 327
 
3.3%
4 1215
 
12.2%
3 2338
23.5%
2 4729
47.5%

n74_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.395919188
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:12.989094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.029299085
Coefficient of variation (CV)0.4296050928
Kurtosis16.25412001
Mean2.395919188
Median Absolute Deviation (MAD)1
Skewness2.528764953
Sum23837
Variance1.059456606
MonotonicityNot monotonic
2023-03-22T13:09:13.099213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 4967
49.9%
2 3082
31.0%
1 1791
 
18.0%
9 109
 
1.1%
ValueCountFrequency (%)
1 1791
 
18.0%
2 3082
31.0%
3 4967
49.9%
9 109
 
1.1%
ValueCountFrequency (%)
9 109
 
1.1%
3 4967
49.9%
2 3082
31.0%
1 1791
 
18.0%

n74_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.41290582
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:13.220079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.031655328
Coefficient of variation (CV)0.4275572297
Kurtosis16.71702224
Mean2.41290582
Median Absolute Deviation (MAD)0
Skewness2.618534334
Sum24006
Variance1.064312715
MonotonicityNot monotonic
2023-03-22T13:09:13.330437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 5004
50.3%
2 3137
31.5%
1 1694
 
17.0%
9 114
 
1.1%
ValueCountFrequency (%)
1 1694
 
17.0%
2 3137
31.5%
3 5004
50.3%
9 114
 
1.1%
ValueCountFrequency (%)
9 114
 
1.1%
3 5004
50.3%
2 3137
31.5%
1 1694
 
17.0%

n74_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.467283144
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:13.451714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.032376984
Coefficient of variation (CV)0.4184266354
Kurtosis17.18774005
Mean2.467283144
Median Absolute Deviation (MAD)0
Skewness2.68891482
Sum24547
Variance1.065802238
MonotonicityNot monotonic
2023-03-22T13:09:13.561759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 5324
53.5%
2 2982
30.0%
1 1522
 
15.3%
9 121
 
1.2%
ValueCountFrequency (%)
1 1522
 
15.3%
2 2982
30.0%
3 5324
53.5%
9 121
 
1.2%
ValueCountFrequency (%)
9 121
 
1.2%
3 5324
53.5%
2 2982
30.0%
1 1522
 
15.3%

n74_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.613629511
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:13.682483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.091086443
Coefficient of variation (CV)0.676169118
Kurtosis24.61127753
Mean1.613629511
Median Absolute Deviation (MAD)0
Skewness4.164511388
Sum16054
Variance1.190469626
MonotonicityNot monotonic
2023-03-22T13:09:13.792645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5877
59.1%
2 2813
28.3%
3 1130
 
11.4%
9 129
 
1.3%
ValueCountFrequency (%)
1 5877
59.1%
2 2813
28.3%
3 1130
 
11.4%
9 129
 
1.3%
ValueCountFrequency (%)
9 129
 
1.3%
3 1130
 
11.4%
2 2813
28.3%
1 5877
59.1%

n74_5
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.064127048
Minimum0
Maximum9
Zeros3537
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:13.914686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.808509367
Coefficient of variation (CV)1.36062815
Kurtosis1.733872597
Mean2.064127048
Median Absolute Deviation (MAD)1
Skewness1.722923065
Sum20536
Variance7.887724864
MonotonicityNot monotonic
2023-03-22T13:09:14.019710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 3537
35.6%
1 2368
23.8%
3 1428
14.4%
2 1380
 
13.9%
9 1236
 
12.4%
ValueCountFrequency (%)
0 3537
35.6%
1 2368
23.8%
2 1380
 
13.9%
3 1428
14.4%
9 1236
 
12.4%
ValueCountFrequency (%)
9 1236
 
12.4%
3 1428
14.4%
2 1380
 
13.9%
1 2368
23.8%
0 3537
35.6%

n74_6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2320836265
Minimum0
Maximum9
Zeros8680
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:14.131591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.057890058
Coefficient of variation (CV)4.558227883
Kurtosis58.73403475
Mean0.2320836265
Median Absolute Deviation (MAD)0
Skewness7.476121559
Sum2309
Variance1.119131374
MonotonicityNot monotonic
2023-03-22T13:09:14.232092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8680
87.2%
1 1139
 
11.4%
9 130
 
1.3%
ValueCountFrequency (%)
0 8680
87.2%
1 1139
 
11.4%
9 130
 
1.3%
ValueCountFrequency (%)
9 130
 
1.3%
1 1139
 
11.4%
0 8680
87.2%

n74_71
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.142426375
Minimum0
Maximum9
Zeros1007
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:14.340997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.474461065
Coefficient of variation (CV)0.3464454424
Kurtosis4.334906986
Mean7.142426375
Median Absolute Deviation (MAD)0
Skewness-2.512500318
Sum71060
Variance6.122957562
MonotonicityNot monotonic
2023-03-22T13:09:14.440507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8810
88.6%
0 1007
 
10.1%
1 76
 
0.8%
9 56
 
0.6%
ValueCountFrequency (%)
0 1007
 
10.1%
1 76
 
0.8%
8 8810
88.6%
9 56
 
0.6%
ValueCountFrequency (%)
9 56
 
0.6%
8 8810
88.6%
1 76
 
0.8%
0 1007
 
10.1%

n74_72
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.216805709
Minimum0
Maximum9
Zeros267
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:14.547711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.264775239
Coefficient of variation (CV)0.3138196219
Kurtosis4.442886036
Mean7.216805709
Median Absolute Deviation (MAD)0
Skewness-2.526172006
Sum71800
Variance5.129206884
MonotonicityNot monotonic
2023-03-22T13:09:14.647535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8810
88.6%
1 816
 
8.2%
0 267
 
2.7%
9 56
 
0.6%
ValueCountFrequency (%)
0 267
 
2.7%
1 816
 
8.2%
8 8810
88.6%
9 56
 
0.6%
ValueCountFrequency (%)
9 56
 
0.6%
8 8810
88.6%
1 816
 
8.2%
0 267
 
2.7%

n74_73
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.137601769
Minimum0
Maximum9
Zeros1055
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:14.754453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.487375102
Coefficient of variation (CV)0.3484889158
Kurtosis4.312939813
Mean7.137601769
Median Absolute Deviation (MAD)0
Skewness-2.509337135
Sum71012
Variance6.187034899
MonotonicityNot monotonic
2023-03-22T13:09:14.854827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8810
88.6%
0 1055
 
10.6%
9 56
 
0.6%
1 28
 
0.3%
ValueCountFrequency (%)
0 1055
 
10.6%
1 28
 
0.3%
8 8810
88.6%
9 56
 
0.6%
ValueCountFrequency (%)
9 56
 
0.6%
8 8810
88.6%
1 28
 
0.3%
0 1055
 
10.6%

n74_74
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.151070459
Minimum0
Maximum9
Zeros921
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:14.961591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.451129514
Coefficient of variation (CV)0.3427639999
Kurtosis4.371161132
Mean7.151070459
Median Absolute Deviation (MAD)0
Skewness-2.517648906
Sum71146
Variance6.008035897
MonotonicityNot monotonic
2023-03-22T13:09:15.061036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8810
88.6%
0 921
 
9.3%
1 162
 
1.6%
9 56
 
0.6%
ValueCountFrequency (%)
0 921
 
9.3%
1 162
 
1.6%
8 8810
88.6%
9 56
 
0.6%
ValueCountFrequency (%)
9 56
 
0.6%
8 8810
88.6%
1 162
 
1.6%
0 921
 
9.3%

n75
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.396924314
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:15.166053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.127102685
Coefficient of variation (CV)0.8068459213
Kurtosis17.04301829
Mean1.396924314
Median Absolute Deviation (MAD)0
Skewness3.679557688
Sum13898
Variance1.270360463
MonotonicityNot monotonic
2023-03-22T13:09:15.275615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 8509
85.5%
4 855
 
8.6%
2 290
 
2.9%
3 211
 
2.1%
9 84
 
0.8%
ValueCountFrequency (%)
1 8509
85.5%
2 290
 
2.9%
3 211
 
2.1%
4 855
 
8.6%
9 84
 
0.8%
ValueCountFrequency (%)
9 84
 
0.8%
4 855
 
8.6%
3 211
 
2.1%
2 290
 
2.9%
1 8509
85.5%

n75_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4234596442
Minimum0
Maximum9
Zeros6328
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:15.396738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8830351963
Coefficient of variation (CV)2.085287721
Kurtosis63.33363004
Mean0.4234596442
Median Absolute Deviation (MAD)0
Skewness6.845973146
Sum4213
Variance0.7797511579
MonotonicityNot monotonic
2023-03-22T13:09:15.496968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6328
63.6%
1 3547
35.7%
9 74
 
0.7%
ValueCountFrequency (%)
0 6328
63.6%
1 3547
35.7%
9 74
 
0.7%
ValueCountFrequency (%)
9 74
 
0.7%
1 3547
35.7%
0 6328
63.6%

n75_2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.943310886
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:15.605755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.792265355
Coefficient of variation (CV)0.4698164724
Kurtosis-1.476317951
Mean5.943310886
Median Absolute Deviation (MAD)0
Skewness-0.6616878524
Sum59130
Variance7.796745812
MonotonicityNot monotonic
2023-03-22T13:09:15.719467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 6402
64.3%
2 1849
 
18.6%
3 1251
 
12.6%
1 445
 
4.5%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 445
 
4.5%
2 1849
 
18.6%
3 1251
 
12.6%
8 6402
64.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 6402
64.3%
3 1251
 
12.6%
2 1849
 
18.6%
1 445
 
4.5%

n75_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.426676048
Minimum0
Maximum9
Zeros837
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:15.845798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.474471206
Coefficient of variation (CV)0.6402577148
Kurtosis-1.58916061
Mean5.426676048
Median Absolute Deviation (MAD)0
Skewness-0.6200822814
Sum53990
Variance12.07195016
MonotonicityNot monotonic
2023-03-22T13:09:15.949586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6402
64.3%
1 2702
27.2%
0 837
 
8.4%
9 8
 
0.1%
ValueCountFrequency (%)
0 837
 
8.4%
1 2702
27.2%
8 6402
64.3%
9 8
 
0.1%
ValueCountFrequency (%)
9 8
 
0.1%
8 6402
64.3%
1 2702
27.2%
0 837
 
8.4%

n75_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.403156096
Minimum0
Maximum9
Zeros1047
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:16.061415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.504491071
Coefficient of variation (CV)0.6486007454
Kurtosis-1.58574578
Mean5.403156096
Median Absolute Deviation (MAD)0
Skewness-0.6209162611
Sum53756
Variance12.28145767
MonotonicityNot monotonic
2023-03-22T13:09:16.165217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6402
64.3%
1 2495
 
25.1%
0 1047
 
10.5%
9 5
 
0.1%
ValueCountFrequency (%)
0 1047
 
10.5%
1 2495
 
25.1%
8 6402
64.3%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 6402
64.3%
1 2495
 
25.1%
0 1047
 
10.5%

n75_5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.26414715
Minimum0
Maximum9
Zeros2462
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:16.277458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.695184018
Coefficient of variation (CV)0.7019530254
Kurtosis-1.594586197
Mean5.26414715
Median Absolute Deviation (MAD)0
Skewness-0.619747077
Sum52373
Variance13.65438493
MonotonicityNot monotonic
2023-03-22T13:09:16.381442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6402
64.3%
0 2462
 
24.7%
1 1076
 
10.8%
9 9
 
0.1%
ValueCountFrequency (%)
0 2462
 
24.7%
1 1076
 
10.8%
8 6402
64.3%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 6402
64.3%
1 1076
 
10.8%
0 2462
 
24.7%

n76
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1189064228
Minimum0
Maximum2
Zeros9091
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:16.493029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.412453614
Coefficient of variation (CV)3.468724434
Kurtosis12.26516325
Mean0.1189064228
Median Absolute Deviation (MAD)0
Skewness3.600369742
Sum1183
Variance0.1701179837
MonotonicityNot monotonic
2023-03-22T13:09:16.604722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9091
91.4%
1 533
 
5.4%
2 325
 
3.3%
ValueCountFrequency (%)
0 9091
91.4%
1 533
 
5.4%
2 325
 
3.3%
ValueCountFrequency (%)
2 325
 
3.3%
1 533
 
5.4%
0 9091
91.4%

o1
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.805407579
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:16.726500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.23371047
Coefficient of variation (CV)0.4397615801
Kurtosis8.801004512
Mean2.805407579
Median Absolute Deviation (MAD)1
Skewness2.300814268
Sum27911
Variance1.522041523
MonotonicityNot monotonic
2023-03-22T13:09:16.839116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4528
45.5%
3 2848
28.6%
4 1602
 
16.1%
1 410
 
4.1%
5 389
 
3.9%
9 172
 
1.7%
ValueCountFrequency (%)
1 410
 
4.1%
2 4528
45.5%
3 2848
28.6%
4 1602
 
16.1%
5 389
 
3.9%
ValueCountFrequency (%)
9 172
 
1.7%
5 389
 
3.9%
4 1602
 
16.1%
3 2848
28.6%
2 4528
45.5%

o2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5611619258
Minimum0
Maximum9
Zeros5798
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:16.963332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.241700755
Coefficient of variation (CV)2.212731652
Kurtosis35.4394533
Mean0.5611619258
Median Absolute Deviation (MAD)0
Skewness5.613212986
Sum5583
Variance1.541820765
MonotonicityNot monotonic
2023-03-22T13:09:17.063729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5798
58.3%
1 3972
39.9%
9 179
 
1.8%
ValueCountFrequency (%)
0 5798
58.3%
1 3972
39.9%
9 179
 
1.8%
ValueCountFrequency (%)
9 179
 
1.8%
1 3972
39.9%
0 5798
58.3%

o3
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.445069856
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:17.170778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.438640133
Coefficient of variation (CV)0.5883840616
Kurtosis9.936594529
Mean2.445069856
Median Absolute Deviation (MAD)1
Skewness2.538413039
Sum24326
Variance2.069685432
MonotonicityNot monotonic
2023-03-22T13:09:17.282321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4677
47.0%
1 2732
27.5%
2 2026
20.4%
9 291
 
2.9%
4 223
 
2.2%
ValueCountFrequency (%)
1 2732
27.5%
2 2026
20.4%
3 4677
47.0%
4 223
 
2.2%
9 291
 
2.9%
ValueCountFrequency (%)
9 291
 
2.9%
4 223
 
2.2%
3 4677
47.0%
2 2026
20.4%
1 2732
27.5%

o4
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.039903508
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:17.405220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.641440321
Coefficient of variation (CV)0.8046656691
Kurtosis8.791822914
Mean2.039903508
Median Absolute Deviation (MAD)0
Skewness3.039396379
Sum20295
Variance2.694326328
MonotonicityNot monotonic
2023-03-22T13:09:17.515741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5323
53.5%
1 3680
37.0%
8 514
 
5.2%
3 291
 
2.9%
9 84
 
0.8%
4 57
 
0.6%
ValueCountFrequency (%)
1 3680
37.0%
2 5323
53.5%
3 291
 
2.9%
4 57
 
0.6%
8 514
 
5.2%
ValueCountFrequency (%)
9 84
 
0.8%
8 514
 
5.2%
4 57
 
0.6%
3 291
 
2.9%
2 5323
53.5%

o5
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.186752437
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:17.637548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.886853071
Coefficient of variation (CV)0.5920927679
Kurtosis1.006688232
Mean3.186752437
Median Absolute Deviation (MAD)1
Skewness0.8897418203
Sum31705
Variance3.560214513
MonotonicityNot monotonic
2023-03-22T13:09:17.753669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 3033
30.5%
1 2854
28.7%
3 2173
21.8%
5 800
 
8.0%
8 514
 
5.2%
2 441
 
4.4%
9 134
 
1.3%
ValueCountFrequency (%)
1 2854
28.7%
2 441
 
4.4%
3 2173
21.8%
4 3033
30.5%
5 800
 
8.0%
ValueCountFrequency (%)
9 134
 
1.3%
8 514
 
5.2%
5 800
 
8.0%
4 3033
30.5%
3 2173
21.8%

o5_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4880892552
Minimum0
Maximum9
Zeros7658
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:17.881243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.538078484
Coefficient of variation (CV)3.151223813
Kurtosis19.88963588
Mean0.4880892552
Median Absolute Deviation (MAD)0
Skewness4.515751598
Sum4856
Variance2.365685422
MonotonicityNot monotonic
2023-03-22T13:09:17.982984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7658
77.0%
1 1934
 
19.4%
8 291
 
2.9%
9 66
 
0.7%
ValueCountFrequency (%)
0 7658
77.0%
1 1934
 
19.4%
8 291
 
2.9%
9 66
 
0.7%
ValueCountFrequency (%)
9 66
 
0.7%
8 291
 
2.9%
1 1934
 
19.4%
0 7658
77.0%

o6
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.522062519
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:18.090343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.741150503
Coefficient of variation (CV)0.690367701
Kurtosis4.636464527
Mean2.522062519
Median Absolute Deviation (MAD)1
Skewness1.854573014
Sum25092
Variance3.031605074
MonotonicityNot monotonic
2023-03-22T13:09:18.201927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 3633
36.5%
4 2246
22.6%
2 2009
20.2%
3 1682
16.9%
9 379
 
3.8%
ValueCountFrequency (%)
1 3633
36.5%
2 2009
20.2%
3 1682
16.9%
4 2246
22.6%
9 379
 
3.8%
ValueCountFrequency (%)
9 379
 
3.8%
4 2246
22.6%
3 1682
16.9%
2 2009
20.2%
1 3633
36.5%

o7
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.831339833
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:18.325539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.703168487
Coefficient of variation (CV)0.2493169025
Kurtosis-0.173322673
Mean6.831339833
Median Absolute Deviation (MAD)0
Skewness-0.9845489759
Sum67965
Variance2.900782895
MonotonicityNot monotonic
2023-03-22T13:09:18.444867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 6316
63.5%
5 2820
28.3%
3 310
 
3.1%
4 226
 
2.3%
9 144
 
1.4%
2 74
 
0.7%
1 59
 
0.6%
ValueCountFrequency (%)
1 59
 
0.6%
2 74
 
0.7%
3 310
 
3.1%
4 226
 
2.3%
5 2820
28.3%
ValueCountFrequency (%)
9 144
 
1.4%
8 6316
63.5%
5 2820
28.3%
4 226
 
2.3%
3 310
 
3.1%

o7_1
Real number (ℝ)

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean690.1241331
Minimum0
Maximum999
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:18.605278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q1888
median888
Q3888
95-th percentile999
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation374.8601567
Coefficient of variation (CV)0.5431778701
Kurtosis-0.6681871087
Mean690.1241331
Median Absolute Deviation (MAD)0
Skewness-1.129590982
Sum6866045
Variance140520.1371
MonotonicityNot monotonic
2023-03-22T13:09:18.779615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 6316
63.5%
999 1153
 
11.6%
40 257
 
2.6%
50 220
 
2.2%
30 171
 
1.7%
20 114
 
1.1%
60 105
 
1.1%
35 103
 
1.0%
45 101
 
1.0%
25 95
 
1.0%
Other values (78) 1314
 
13.2%
ValueCountFrequency (%)
0 6
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
999 1153
 
11.6%
888 6316
63.5%
99 1
 
< 0.1%
90 2
 
< 0.1%
88 1
 
< 0.1%

o8
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.266860991
Minimum0
Maximum9
Zeros5334
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:18.921847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.878358553
Coefficient of variation (CV)1.187181996
Kurtosis-1.828412962
Mean3.266860991
Median Absolute Deviation (MAD)0
Skewness0.3979099239
Sum32502
Variance15.04166507
MonotonicityNot monotonic
2023-03-22T13:09:19.025862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5334
53.6%
8 3953
39.7%
1 635
 
6.4%
9 27
 
0.3%
ValueCountFrequency (%)
0 5334
53.6%
1 635
 
6.4%
8 3953
39.7%
9 27
 
0.3%
ValueCountFrequency (%)
9 27
 
0.3%
8 3953
39.7%
1 635
 
6.4%
0 5334
53.6%

o9
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.787214795
Minimum0
Maximum99
Zeros5330
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:19.149486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.67391192
Coefficient of variation (CV)2.269606321
Kurtosis15.26693411
Mean7.787214795
Median Absolute Deviation (MAD)0
Skewness3.925198971
Sum77475
Variance312.3671626
MonotonicityNot monotonic
2023-03-22T13:09:19.283557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 5330
53.6%
14 524
 
5.3%
16 463
 
4.7%
10 424
 
4.3%
12 414
 
4.2%
88 379
 
3.8%
8 298
 
3.0%
4 273
 
2.7%
15 262
 
2.6%
6 262
 
2.6%
Other values (9) 1320
 
13.3%
ValueCountFrequency (%)
0 5330
53.6%
1 110
 
1.1%
2 203
 
2.0%
3 168
 
1.7%
4 273
 
2.7%
ValueCountFrequency (%)
99 29
 
0.3%
88 379
3.8%
16 463
4.7%
15 262
2.6%
14 524
5.3%

o10
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.152075585
Minimum0
Maximum99
Zeros3822
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:19.418773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q312
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation17.4871396
Coefficient of variation (CV)1.910729368
Kurtosis15.10074306
Mean9.152075585
Median Absolute Deviation (MAD)6
Skewness3.889448186
Sum91054
Variance305.8000512
MonotonicityNot monotonic
2023-03-22T13:09:19.550994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3822
38.4%
14 619
 
6.2%
8 584
 
5.9%
6 537
 
5.4%
10 528
 
5.3%
12 520
 
5.2%
16 490
 
4.9%
88 379
 
3.8%
4 377
 
3.8%
5 356
 
3.6%
Other values (9) 1737
17.5%
ValueCountFrequency (%)
0 3822
38.4%
1 71
 
0.7%
2 169
 
1.7%
3 158
 
1.6%
4 377
 
3.8%
ValueCountFrequency (%)
99 33
 
0.3%
88 379
3.8%
16 490
4.9%
15 271
2.7%
14 619
6.2%

o11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7505276912
Minimum0
Maximum9
Zeros5210
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:19.673149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.27259671
Coefficient of variation (CV)1.695602607
Kurtosis25.08532628
Mean0.7505276912
Median Absolute Deviation (MAD)0
Skewness4.334869639
Sum7467
Variance1.619502385
MonotonicityNot monotonic
2023-03-22T13:09:19.774969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5210
52.4%
1 3110
31.3%
2 1472
 
14.8%
9 157
 
1.6%
ValueCountFrequency (%)
0 5210
52.4%
1 3110
31.3%
2 1472
 
14.8%
9 157
 
1.6%
ValueCountFrequency (%)
9 157
 
1.6%
2 1472
 
14.8%
1 3110
31.3%
0 5210
52.4%

o12
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8434013469
Minimum0
Maximum9
Zeros3687
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:19.884521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.070307823
Coefficient of variation (CV)1.269037365
Kurtosis32.60284233
Mean0.8434013469
Median Absolute Deviation (MAD)1
Skewness4.612623931
Sum8391
Variance1.145558836
MonotonicityNot monotonic
2023-03-22T13:09:19.986354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4861
48.9%
0 3687
37.1%
2 1297
 
13.0%
9 104
 
1.0%
ValueCountFrequency (%)
0 3687
37.1%
1 4861
48.9%
2 1297
 
13.0%
9 104
 
1.0%
ValueCountFrequency (%)
9 104
 
1.0%
2 1297
 
13.0%
1 4861
48.9%
0 3687
37.1%

o13
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.136797668
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:20.094849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.018686248
Coefficient of variation (CV)0.7297157101
Kurtosis-1.692379041
Mean4.136797668
Median Absolute Deviation (MAD)1
Skewness0.490370254
Sum41157
Variance9.112466664
MonotonicityNot monotonic
2023-03-22T13:09:20.209608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4920
49.5%
8 3595
36.1%
1 1208
 
12.1%
9 107
 
1.1%
3 90
 
0.9%
4 29
 
0.3%
ValueCountFrequency (%)
1 1208
 
12.1%
2 4920
49.5%
3 90
 
0.9%
4 29
 
0.3%
8 3595
36.1%
ValueCountFrequency (%)
9 107
 
1.1%
8 3595
36.1%
4 29
 
0.3%
3 90
 
0.9%
2 4920
49.5%

o14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.140215097
Minimum0
Maximum9
Zeros9322
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:20.336133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9029839256
Coefficient of variation (CV)6.439990735
Kurtosis86.53261721
Mean0.140215097
Median Absolute Deviation (MAD)0
Skewness9.159583626
Sum1395
Variance0.8153799698
MonotonicityNot monotonic
2023-03-22T13:09:20.437527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9322
93.7%
1 531
 
5.3%
9 96
 
1.0%
ValueCountFrequency (%)
0 9322
93.7%
1 531
 
5.3%
9 96
 
1.0%
ValueCountFrequency (%)
9 96
 
1.0%
1 531
 
5.3%
0 9322
93.7%

o15_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.013870741
Minimum0
Maximum9
Zeros510
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:20.545645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7564284105
Coefficient of variation (CV)0.746079732
Kurtosis98.38905105
Mean1.013870741
Median Absolute Deviation (MAD)0
Skewness9.460418296
Sum10087
Variance0.5721839403
MonotonicityNot monotonic
2023-03-22T13:09:20.645954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9358
94.1%
0 510
 
5.1%
9 81
 
0.8%
ValueCountFrequency (%)
0 510
 
5.1%
1 9358
94.1%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
1 9358
94.1%
0 510
 
5.1%

o15_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.007739471
Minimum0
Maximum9
Zeros571
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:20.754178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7605579119
Coefficient of variation (CV)0.7547168029
Kurtosis96.52444327
Mean1.007739471
Median Absolute Deviation (MAD)0
Skewness9.31681666
Sum10026
Variance0.5784483374
MonotonicityNot monotonic
2023-03-22T13:09:20.854545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9297
93.4%
0 571
 
5.7%
9 81
 
0.8%
ValueCountFrequency (%)
0 571
 
5.7%
1 9297
93.4%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
1 9297
93.4%
0 571
 
5.7%

o15_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3329982913
Minimum0
Maximum9
Zeros7284
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:20.962634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8991002439
Coefficient of variation (CV)2.700014587
Kurtosis67.44000631
Mean0.3329982913
Median Absolute Deviation (MAD)0
Skewness7.363756887
Sum3313
Variance0.8083812486
MonotonicityNot monotonic
2023-03-22T13:09:21.063046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7284
73.2%
1 2584
 
26.0%
9 81
 
0.8%
ValueCountFrequency (%)
0 7284
73.2%
1 2584
 
26.0%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
1 2584
 
26.0%
0 7284
73.2%

o15_4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1232284652
Minimum0
Maximum9
Zeros9371
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:21.171010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8332482004
Coefficient of variation (CV)6.761815943
Kurtosis101.9990766
Mean0.1232284652
Median Absolute Deviation (MAD)0
Skewness9.901592619
Sum1226
Variance0.6943025635
MonotonicityNot monotonic
2023-03-22T13:09:21.271466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9371
94.2%
1 497
 
5.0%
9 81
 
0.8%
ValueCountFrequency (%)
0 9371
94.2%
1 497
 
5.0%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
1 497
 
5.0%
0 9371
94.2%

o15_5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.176701176
Minimum0
Maximum9
Zeros8839
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:21.379742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.855418603
Coefficient of variation (CV)4.841046463
Kurtosis89.30851459
Mean0.176701176
Median Absolute Deviation (MAD)0
Skewness9.021438207
Sum1758
Variance0.7317409864
MonotonicityNot monotonic
2023-03-22T13:09:21.479995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8839
88.8%
1 1029
 
10.3%
9 81
 
0.8%
ValueCountFrequency (%)
0 8839
88.8%
1 1029
 
10.3%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
1 1029
 
10.3%
0 8839
88.8%

o15_6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1401145844
Minimum0
Maximum9
Zeros9203
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:21.587956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.840680136
Coefficient of variation (CV)5.999947398
Kurtosis97.58098227
Mean0.1401145844
Median Absolute Deviation (MAD)0
Skewness9.600241246
Sum1394
Variance0.706743091
MonotonicityNot monotonic
2023-03-22T13:09:21.688312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9203
92.5%
1 665
 
6.7%
9 81
 
0.8%
ValueCountFrequency (%)
0 9203
92.5%
1 665
 
6.7%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
1 665
 
6.7%
0 9203
92.5%

o16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1550909639
Minimum0
Maximum9
Zeros9326
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:21.797223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9815187391
Coefficient of variation (CV)6.328664897
Kurtosis73.30640499
Mean0.1550909639
Median Absolute Deviation (MAD)0
Skewness8.49011458
Sum1543
Variance0.9633790353
MonotonicityNot monotonic
2023-03-22T13:09:21.897837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9326
93.7%
1 508
 
5.1%
9 115
 
1.2%
ValueCountFrequency (%)
0 9326
93.7%
1 508
 
5.1%
9 115
 
1.2%
ValueCountFrequency (%)
9 115
 
1.2%
1 508
 
5.1%
0 9326
93.7%

o17
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.016986632
Minimum0
Maximum9
Zeros5868
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:22.006818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.849842023
Coefficient of variation (CV)1.27605538
Kurtosis-1.712793071
Mean3.016986632
Median Absolute Deviation (MAD)0
Skewness0.526335731
Sum30016
Variance14.8212836
MonotonicityNot monotonic
2023-03-22T13:09:22.111032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5868
59.0%
8 3633
36.5%
1 385
 
3.9%
9 63
 
0.6%
ValueCountFrequency (%)
0 5868
59.0%
1 385
 
3.9%
8 3633
36.5%
9 63
 
0.6%
ValueCountFrequency (%)
9 63
 
0.6%
8 3633
36.5%
1 385
 
3.9%
0 5868
59.0%

o17_01
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0238214896
Minimum0
Maximum2
Zeros9806
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:22.222724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.205315939
Coefficient of variation (CV)8.618937877
Kurtosis80.6639851
Mean0.0238214896
Median Absolute Deviation (MAD)0
Skewness8.95529007
Sum237
Variance0.0421546348
MonotonicityNot monotonic
2023-03-22T13:09:22.336893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9806
98.6%
2 94
 
0.9%
1 49
 
0.5%
ValueCountFrequency (%)
0 9806
98.6%
1 49
 
0.5%
2 94
 
0.9%
ValueCountFrequency (%)
2 94
 
0.9%
1 49
 
0.5%
0 9806
98.6%

o17_02
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.364358227
Minimum0
Maximum10
Zeros9372
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:22.462114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.559830798
Coefficient of variation (CV)4.281036305
Kurtosis22.0449585
Mean0.364358227
Median Absolute Deviation (MAD)0
Skewness4.627847554
Sum3625
Variance2.433072118
MonotonicityNot monotonic
2023-03-22T13:09:22.572062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9372
94.2%
5 429
 
4.3%
10 148
 
1.5%
ValueCountFrequency (%)
0 9372
94.2%
5 429
 
4.3%
10 148
 
1.5%
ValueCountFrequency (%)
10 148
 
1.5%
5 429
 
4.3%
0 9372
94.2%

o17_03
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3774248668
Minimum0
Maximum10
Zeros9354
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:22.681785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.590260163
Coefficient of variation (CV)4.213448298
Kurtosis21.18960868
Mean0.3774248668
Median Absolute Deviation (MAD)0
Skewness4.546438123
Sum3755
Variance2.528927385
MonotonicityNot monotonic
2023-03-22T13:09:22.791834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9354
94.0%
5 439
 
4.4%
10 156
 
1.6%
ValueCountFrequency (%)
0 9354
94.0%
5 439
 
4.4%
10 156
 
1.6%
ValueCountFrequency (%)
10 156
 
1.6%
5 439
 
4.4%
0 9354
94.0%

o17_04
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6186551412
Minimum0
Maximum10
Zeros8969
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:22.901516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.99308156
Coefficient of variation (CV)3.221635815
Kurtosis11.11231339
Mean0.6186551412
Median Absolute Deviation (MAD)0
Skewness3.383406346
Sum6155
Variance3.972374106
MonotonicityNot monotonic
2023-03-22T13:09:23.011637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8969
90.1%
5 729
 
7.3%
10 251
 
2.5%
ValueCountFrequency (%)
0 8969
90.1%
5 729
 
7.3%
10 251
 
2.5%
ValueCountFrequency (%)
10 251
 
2.5%
5 729
 
7.3%
0 8969
90.1%

o17_05
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.275002513
Minimum0
Maximum10
Zeros7965
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:23.121318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.743959135
Coefficient of variation (CV)2.15212057
Kurtosis3.211208853
Mean1.275002513
Median Absolute Deviation (MAD)0
Skewness2.067077783
Sum12685
Variance7.529311734
MonotonicityNot monotonic
2023-03-22T13:09:23.231356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7965
80.1%
5 1431
 
14.4%
10 553
 
5.6%
ValueCountFrequency (%)
0 7965
80.1%
5 1431
 
14.4%
10 553
 
5.6%
ValueCountFrequency (%)
10 553
 
5.6%
5 1431
 
14.4%
0 7965
80.1%

o17_06
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.200623178
Minimum0
Maximum10
Zeros8046
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:23.341081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.646654581
Coefficient of variation (CV)2.204400706
Kurtosis3.611489749
Mean1.200623178
Median Absolute Deviation (MAD)0
Skewness2.141724722
Sum11945
Variance7.004780472
MonotonicityNot monotonic
2023-03-22T13:09:23.451033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8046
80.9%
5 1417
 
14.2%
10 486
 
4.9%
ValueCountFrequency (%)
0 8046
80.9%
5 1417
 
14.2%
10 486
 
4.9%
ValueCountFrequency (%)
10 486
 
4.9%
5 1417
 
14.2%
0 8046
80.9%

o17_07
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4643682782
Minimum0
Maximum10
Zeros9212
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:23.560599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.745366044
Coefficient of variation (CV)3.758581553
Kurtosis16.28450081
Mean0.4643682782
Median Absolute Deviation (MAD)0
Skewness4.019064409
Sum4620
Variance3.046302629
MonotonicityNot monotonic
2023-03-22T13:09:23.670692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9212
92.6%
5 550
 
5.5%
10 187
 
1.9%
ValueCountFrequency (%)
0 9212
92.6%
5 550
 
5.5%
10 187
 
1.9%
ValueCountFrequency (%)
10 187
 
1.9%
5 550
 
5.5%
0 9212
92.6%

o17_08
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4920092472
Minimum0
Maximum10
Zeros9199
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:23.780493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.835532951
Coefficient of variation (CV)3.730687913
Kurtosis15.49360073
Mean0.4920092472
Median Absolute Deviation (MAD)0
Skewness3.958292988
Sum4895
Variance3.369181216
MonotonicityNot monotonic
2023-03-22T13:09:23.890964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9199
92.5%
5 521
 
5.2%
10 229
 
2.3%
ValueCountFrequency (%)
0 9199
92.5%
5 521
 
5.2%
10 229
 
2.3%
ValueCountFrequency (%)
10 229
 
2.3%
5 521
 
5.2%
0 9199
92.5%

o17_09
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51211177
Minimum0
Maximum10
Zeros9227
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:24.000618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.94712449
Coefficient of variation (CV)3.802147508
Kurtosis15.05168508
Mean0.51211177
Median Absolute Deviation (MAD)0
Skewness3.961243334
Sum5095
Variance3.791293781
MonotonicityNot monotonic
2023-03-22T13:09:24.110887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9227
92.7%
5 425
 
4.3%
10 297
 
3.0%
ValueCountFrequency (%)
0 9227
92.7%
5 425
 
4.3%
10 297
 
3.0%
ValueCountFrequency (%)
10 297
 
3.0%
5 425
 
4.3%
0 9227
92.7%

o17_10
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.240325661
Minimum0
Maximum10
Zeros8280
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:24.220590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.94611132
Coefficient of variation (CV)2.375272408
Kurtosis3.538336439
Mean1.240325661
Median Absolute Deviation (MAD)0
Skewness2.231285236
Sum12340
Variance8.679571908
MonotonicityNot monotonic
2023-03-22T13:09:24.331249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8280
83.2%
5 870
 
8.7%
10 799
 
8.0%
ValueCountFrequency (%)
0 8280
83.2%
5 870
 
8.7%
10 799
 
8.0%
ValueCountFrequency (%)
10 799
 
8.0%
5 870
 
8.7%
0 8280
83.2%

o17_11
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.294702985
Minimum0
Maximum10
Zeros6501
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:24.440905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.439141915
Coefficient of variation (CV)1.498730745
Kurtosis0.05194029602
Mean2.294702985
Median Absolute Deviation (MAD)0
Skewness1.184051676
Sum22830
Variance11.82769711
MonotonicityNot monotonic
2023-03-22T13:09:24.555222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6501
65.3%
5 2330
 
23.4%
10 1118
 
11.2%
ValueCountFrequency (%)
0 6501
65.3%
5 2330
 
23.4%
10 1118
 
11.2%
ValueCountFrequency (%)
10 1118
 
11.2%
5 2330
 
23.4%
0 6501
65.3%

o17_12
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2858578752
Minimum0
Maximum2
Zeros7874
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:24.670767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5989721295
Coefficient of variation (CV)2.095349408
Kurtosis2.493790413
Mean0.2858578752
Median Absolute Deviation (MAD)0
Skewness1.948663575
Sum2844
Variance0.3587676119
MonotonicityNot monotonic
2023-03-22T13:09:24.782484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7874
79.1%
1 1306
 
13.1%
2 769
 
7.7%
ValueCountFrequency (%)
0 7874
79.1%
1 1306
 
13.1%
2 769
 
7.7%
ValueCountFrequency (%)
2 769
 
7.7%
1 1306
 
13.1%
0 7874
79.1%

o17_13
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2139913559
Minimum0
Maximum2
Zeros8351
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:24.905517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5243768588
Coefficient of variation (CV)2.450458134
Kurtosis4.751723637
Mean0.2139913559
Median Absolute Deviation (MAD)0
Skewness2.413672482
Sum2129
Variance0.27497109
MonotonicityNot monotonic
2023-03-22T13:09:25.017124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8351
83.9%
1 1067
 
10.7%
2 531
 
5.3%
ValueCountFrequency (%)
0 8351
83.9%
1 1067
 
10.7%
2 531
 
5.3%
ValueCountFrequency (%)
2 531
 
5.3%
1 1067
 
10.7%
0 8351
83.9%

o18
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1397125339
Minimum0
Maximum9
Zeros9071
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:25.140579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7638152323
Coefficient of variation (CV)5.467048738
Kurtosis113.6904202
Mean0.1397125339
Median Absolute Deviation (MAD)0
Skewness10.1554291
Sum1390
Variance0.5834137091
MonotonicityNot monotonic
2023-03-22T13:09:25.241493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9071
91.2%
1 814
 
8.2%
9 64
 
0.6%
ValueCountFrequency (%)
0 9071
91.2%
1 814
 
8.2%
9 64
 
0.6%
ValueCountFrequency (%)
9 64
 
0.6%
1 814
 
8.2%
0 9071
91.2%

o20
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1424263745
Minimum0
Maximum9
Zeros9260
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:25.350201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8836165625
Coefficient of variation (CV)6.204023416
Kurtosis89.47421324
Mean0.1424263745
Median Absolute Deviation (MAD)0
Skewness9.267133323
Sum1417
Variance0.7807782295
MonotonicityNot monotonic
2023-03-22T13:09:25.450488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9260
93.1%
1 598
 
6.0%
9 91
 
0.9%
ValueCountFrequency (%)
0 9260
93.1%
1 598
 
6.0%
9 91
 
0.9%
ValueCountFrequency (%)
9 91
 
0.9%
1 598
 
6.0%
0 9260
93.1%

o21
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3916976581
Minimum0
Maximum9
Zeros6748
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:25.558780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9316484641
Coefficient of variation (CV)2.378488727
Kurtosis60.86055709
Mean0.3916976581
Median Absolute Deviation (MAD)0
Skewness6.937014883
Sum3897
Variance0.8679688607
MonotonicityNot monotonic
2023-03-22T13:09:25.659172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6748
67.8%
1 3114
31.3%
9 87
 
0.9%
ValueCountFrequency (%)
0 6748
67.8%
1 3114
31.3%
9 87
 
0.9%
ValueCountFrequency (%)
9 87
 
0.9%
1 3114
31.3%
0 6748
67.8%

o22
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3228465172
Minimum0
Maximum9
Zeros7817
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:25.767302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.09348957
Coefficient of variation (CV)3.387026069
Kurtosis50.8752799
Mean0.3228465172
Median Absolute Deviation (MAD)0
Skewness6.809694815
Sum3212
Variance1.19571944
MonotonicityNot monotonic
2023-03-22T13:09:25.867733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7817
78.6%
1 1997
 
20.1%
9 135
 
1.4%
ValueCountFrequency (%)
0 7817
78.6%
1 1997
 
20.1%
9 135
 
1.4%
ValueCountFrequency (%)
9 135
 
1.4%
1 1997
 
20.1%
0 7817
78.6%

o23
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1267464067
Minimum0
Maximum9
Zeros9320
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:25.975746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8261150657
Coefficient of variation (CV)6.517857882
Kurtosis102.8289805
Mean0.1267464067
Median Absolute Deviation (MAD)0
Skewness9.90443679
Sum1261
Variance0.6824661018
MonotonicityNot monotonic
2023-03-22T13:09:26.076243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9320
93.7%
1 550
 
5.5%
9 79
 
0.8%
ValueCountFrequency (%)
0 9320
93.7%
1 550
 
5.5%
9 79
 
0.8%
ValueCountFrequency (%)
9 79
 
0.8%
1 550
 
5.5%
0 9320
93.7%

o24
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1604181325
Minimum0
Maximum9
Zeros9089
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:26.184586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8947402858
Coefficient of variation (CV)5.577550817
Kurtosis85.21613945
Mean0.1604181325
Median Absolute Deviation (MAD)0
Skewness8.978094428
Sum1596
Variance0.800560179
MonotonicityNot monotonic
2023-03-22T13:09:26.285385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9089
91.4%
1 768
 
7.7%
9 92
 
0.9%
ValueCountFrequency (%)
0 9089
91.4%
1 768
 
7.7%
9 92
 
0.9%
ValueCountFrequency (%)
9 92
 
0.9%
1 768
 
7.7%
0 9089
91.4%

o25
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3136998693
Minimum0
Maximum9
Zeros8292
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:26.393727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.240887278
Coefficient of variation (CV)3.955651243
Kurtosis41.21280985
Mean0.3136998693
Median Absolute Deviation (MAD)0
Skewness6.32277619
Sum3121
Variance1.539801237
MonotonicityNot monotonic
2023-03-22T13:09:26.494261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8292
83.3%
1 1474
 
14.8%
9 183
 
1.8%
ValueCountFrequency (%)
0 8292
83.3%
1 1474
 
14.8%
9 183
 
1.8%
ValueCountFrequency (%)
9 183
 
1.8%
1 1474
 
14.8%
0 8292
83.3%

o26
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2772137903
Minimum0
Maximum9
Zeros7863
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:26.602369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8990816678
Coefficient of variation (CV)3.243279011
Kurtosis71.94689737
Mean0.2772137903
Median Absolute Deviation (MAD)0
Skewness7.793975847
Sum2758
Variance0.8083478454
MonotonicityNot monotonic
2023-03-22T13:09:26.702841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7863
79.0%
1 2002
 
20.1%
9 84
 
0.8%
ValueCountFrequency (%)
0 7863
79.0%
1 2002
 
20.1%
9 84
 
0.8%
ValueCountFrequency (%)
9 84
 
0.8%
1 2002
 
20.1%
0 7863
79.0%

o26_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5442758066
Minimum0
Maximum9
Zeros7166
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:26.811814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.621495215
Coefficient of variation (CV)2.979179298
Kurtosis21.48139882
Mean0.5442758066
Median Absolute Deviation (MAD)0
Skewness4.669093346
Sum5415
Variance2.629246734
MonotonicityNot monotonic
2023-03-22T13:09:26.912806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7166
72.0%
1 2454
 
24.7%
9 329
 
3.3%
ValueCountFrequency (%)
0 7166
72.0%
1 2454
 
24.7%
9 329
 
3.3%
ValueCountFrequency (%)
9 329
 
3.3%
1 2454
 
24.7%
0 7166
72.0%

o27
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1122725902
Minimum0
Maximum2
Zeros9158
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:27.021393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4064705239
Coefficient of variation (CV)3.620389653
Kurtosis13.32258654
Mean0.1122725902
Median Absolute Deviation (MAD)0
Skewness3.750845459
Sum1117
Variance0.1652182868
MonotonicityNot monotonic
2023-03-22T13:09:27.133119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9158
92.0%
1 465
 
4.7%
2 326
 
3.3%
ValueCountFrequency (%)
0 9158
92.0%
1 465
 
4.7%
2 326
 
3.3%
ValueCountFrequency (%)
2 326
 
3.3%
1 465
 
4.7%
0 9158
92.0%

p1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.976379536
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:27.256557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.184177387
Coefficient of variation (CV)0.0618796712
Kurtosis79.10911359
Mean2.976379536
Median Absolute Deviation (MAD)0
Skewness-8.609170334
Sum29612
Variance0.0339213099
MonotonicityNot monotonic
2023-03-22T13:09:27.372233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 9768
98.2%
2 127
 
1.3%
1 54
 
0.5%
ValueCountFrequency (%)
1 54
 
0.5%
2 127
 
1.3%
3 9768
98.2%
ValueCountFrequency (%)
3 9768
98.2%
2 127
 
1.3%
1 54
 
0.5%

p2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.979193889
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:27.498194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1655652595
Coefficient of variation (CV)0.05557384502
Kurtosis85.74920822
Mean2.979193889
Median Absolute Deviation (MAD)0
Skewness-8.858979996
Sum29640
Variance0.02741185515
MonotonicityNot monotonic
2023-03-22T13:09:27.612771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 9777
98.3%
2 137
 
1.4%
1 35
 
0.4%
ValueCountFrequency (%)
1 35
 
0.4%
2 137
 
1.4%
3 9777
98.3%
ValueCountFrequency (%)
3 9777
98.3%
2 137
 
1.4%
1 35
 
0.4%

p3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3012363052
Minimum0
Maximum9
Zeros9176
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:27.738351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.490830936
Coefficient of variation (CV)4.949041368
Kurtosis29.41366901
Mean0.3012363052
Median Absolute Deviation (MAD)0
Skewness5.549951962
Sum2997
Variance2.222576879
MonotonicityNot monotonic
2023-03-22T13:09:27.838933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9176
92.2%
1 495
 
5.0%
9 278
 
2.8%
ValueCountFrequency (%)
0 9176
92.2%
1 495
 
5.0%
9 278
 
2.8%
ValueCountFrequency (%)
9 278
 
2.8%
1 495
 
5.0%
0 9176
92.2%

p4
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.705699065
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:27.945842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.29683226
Coefficient of variation (CV)0.1682952123
Kurtosis16.29473671
Mean7.705699065
Median Absolute Deviation (MAD)0
Skewness-4.245211116
Sum76664
Variance1.681773911
MonotonicityNot monotonic
2023-03-22T13:09:28.056825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9454
95.0%
2 318
 
3.2%
1 84
 
0.8%
3 60
 
0.6%
4 33
 
0.3%
ValueCountFrequency (%)
1 84
 
0.8%
2 318
 
3.2%
3 60
 
0.6%
4 33
 
0.3%
8 9454
95.0%
ValueCountFrequency (%)
8 9454
95.0%
4 33
 
0.3%
3 60
 
0.6%
2 318
 
3.2%
1 84
 
0.8%

p5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.848326465
Minimum0
Maximum9
Zeros2813
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:28.175006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.143860231
Coefficient of variation (CV)1.348372682
Kurtosis39.37211878
Mean0.848326465
Median Absolute Deviation (MAD)0
Skewness5.81771104
Sum8440
Variance1.308416228
MonotonicityNot monotonic
2023-03-22T13:09:28.275627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6973
70.1%
0 2813
28.3%
9 163
 
1.6%
ValueCountFrequency (%)
0 2813
28.3%
1 6973
70.1%
9 163
 
1.6%
ValueCountFrequency (%)
9 163
 
1.6%
1 6973
70.1%
0 2813
28.3%

p6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5013569203
Minimum0
Maximum9
Zeros5769
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:28.383897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9904668069
Coefficient of variation (CV)1.975572226
Kurtosis52.12988273
Mean0.5013569203
Median Absolute Deviation (MAD)0
Skewness6.392181016
Sum4988
Variance0.9810244955
MonotonicityNot monotonic
2023-03-22T13:09:28.484444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5769
58.0%
1 4079
41.0%
9 101
 
1.0%
ValueCountFrequency (%)
0 5769
58.0%
1 4079
41.0%
9 101
 
1.0%
ValueCountFrequency (%)
9 101
 
1.0%
1 4079
41.0%
0 5769
58.0%

p7
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3255603578
Minimum0
Maximum9
Zeros7334
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:28.592517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8855102869
Coefficient of variation (CV)2.719957346
Kurtosis69.34414958
Mean0.3255603578
Median Absolute Deviation (MAD)0
Skewness7.448127283
Sum3239
Variance0.7841284681
MonotonicityNot monotonic
2023-03-22T13:09:28.693994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7334
73.7%
1 2537
 
25.5%
9 78
 
0.8%
ValueCountFrequency (%)
0 7334
73.7%
1 2537
 
25.5%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 2537
 
25.5%
0 7334
73.7%

p8
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6420745804
Minimum0
Maximum9
Zeros4393
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:28.802148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9912376247
Coefficient of variation (CV)1.543804497
Kurtosis49.96022958
Mean0.6420745804
Median Absolute Deviation (MAD)0
Skewness6.174025305
Sum6388
Variance0.9825520286
MonotonicityNot monotonic
2023-03-22T13:09:28.903292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5452
54.8%
0 4393
44.2%
9 104
 
1.0%
ValueCountFrequency (%)
0 4393
44.2%
1 5452
54.8%
9 104
 
1.0%
ValueCountFrequency (%)
9 104
 
1.0%
1 5452
54.8%
0 4393
44.2%

p9
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4019499447
Minimum0
Maximum9
Zeros6670
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:29.011389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9443503399
Coefficient of variation (CV)2.349422739
Kurtosis59.27923961
Mean0.4019499447
Median Absolute Deviation (MAD)0
Skewness6.859312616
Sum3999
Variance0.8917975644
MonotonicityNot monotonic
2023-03-22T13:09:29.111710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6670
67.0%
1 3189
32.1%
9 90
 
0.9%
ValueCountFrequency (%)
0 6670
67.0%
1 3189
32.1%
9 90
 
0.9%
ValueCountFrequency (%)
9 90
 
0.9%
1 3189
32.1%
0 6670
67.0%

p10
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3145039702
Minimum0
Maximum9
Zeros7484
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:29.219730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9035135076
Coefficient of variation (CV)2.872820673
Kurtosis68.38208552
Mean0.3145039702
Median Absolute Deviation (MAD)0
Skewness7.486122385
Sum3129
Variance0.8163366583
MonotonicityNot monotonic
2023-03-22T13:09:29.320168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7484
75.2%
1 2382
 
23.9%
9 83
 
0.8%
ValueCountFrequency (%)
0 7484
75.2%
1 2382
 
23.9%
9 83
 
0.8%
ValueCountFrequency (%)
9 83
 
0.8%
1 2382
 
23.9%
0 7484
75.2%

p10_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3860689517
Minimum0
Maximum9
Zeros6732
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:29.428088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8953095147
Coefficient of variation (CV)2.319040448
Kurtosis64.31773548
Mean0.3860689517
Median Absolute Deviation (MAD)0
Skewness7.031915677
Sum3841
Variance0.8015791271
MonotonicityNot monotonic
2023-03-22T13:09:29.528282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6732
67.7%
1 3139
31.6%
9 78
 
0.8%
ValueCountFrequency (%)
0 6732
67.7%
1 3139
31.6%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 3139
31.6%
0 6732
67.7%

p12
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5411599156
Minimum0
Maximum9
Zeros5133
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:29.636354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8730423568
Coefficient of variation (CV)1.613279793
Kurtosis60.04589743
Mean0.5411599156
Median Absolute Deviation (MAD)0
Skewness6.43921069
Sum5384
Variance0.7622029568
MonotonicityNot monotonic
2023-03-22T13:09:29.737875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5133
51.6%
1 4745
47.7%
9 71
 
0.7%
ValueCountFrequency (%)
0 5133
51.6%
1 4745
47.7%
9 71
 
0.7%
ValueCountFrequency (%)
9 71
 
0.7%
1 4745
47.7%
0 5133
51.6%

p13
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.228565685
Minimum0
Maximum9
Zeros8211
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:29.846069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8131806253
Coefficient of variation (CV)3.557754636
Kurtosis88.36988758
Mean0.228565685
Median Absolute Deviation (MAD)0
Skewness8.579394985
Sum2274
Variance0.6612627294
MonotonicityNot monotonic
2023-03-22T13:09:29.946526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8211
82.5%
1 1671
 
16.8%
9 67
 
0.7%
ValueCountFrequency (%)
0 8211
82.5%
1 1671
 
16.8%
9 67
 
0.7%
ValueCountFrequency (%)
9 67
 
0.7%
1 1671
 
16.8%
0 8211
82.5%

p14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3807417831
Minimum0
Maximum9
Zeros6801
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:30.054806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9026693942
Coefficient of variation (CV)2.370817794
Kurtosis63.98212633
Mean0.3807417831
Median Absolute Deviation (MAD)0
Skewness7.05097371
Sum3788
Variance0.8148120351
MonotonicityNot monotonic
2023-03-22T13:09:30.155186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6801
68.4%
1 3068
30.8%
9 80
 
0.8%
ValueCountFrequency (%)
0 6801
68.4%
1 3068
30.8%
9 80
 
0.8%
ValueCountFrequency (%)
9 80
 
0.8%
1 3068
30.8%
0 6801
68.4%

p15
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3781284551
Minimum0
Maximum9
Zeros6795
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:30.264314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8861327654
Coefficient of variation (CV)2.343470197
Kurtosis65.60634451
Mean0.3781284551
Median Absolute Deviation (MAD)0
Skewness7.092268176
Sum3762
Variance0.7852312778
MonotonicityNot monotonic
2023-03-22T13:09:30.364944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6795
68.3%
1 3078
30.9%
9 76
 
0.8%
ValueCountFrequency (%)
0 6795
68.3%
1 3078
30.9%
9 76
 
0.8%
ValueCountFrequency (%)
9 76
 
0.8%
1 3078
30.9%
0 6795
68.3%

p16
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.227259021
Minimum0
Maximum9
Zeros8624
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:30.473246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.011154483
Coefficient of variation (CV)4.449348056
Kurtosis63.72085026
Mean0.227259021
Median Absolute Deviation (MAD)0
Skewness7.72665607
Sum2261
Variance1.022433389
MonotonicityNot monotonic
2023-03-22T13:09:30.573774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8624
86.7%
1 1208
 
12.1%
9 117
 
1.2%
ValueCountFrequency (%)
0 8624
86.7%
1 1208
 
12.1%
9 117
 
1.2%
ValueCountFrequency (%)
9 117
 
1.2%
1 1208
 
12.1%
0 8624
86.7%

p17
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0946828827
Minimum0
Maximum9
Zeros9463
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:30.682405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7058837626
Coefficient of variation (CV)7.455241565
Kurtosis142.3493191
Mean0.0946828827
Median Absolute Deviation (MAD)0
Skewness11.59603863
Sum942
Variance0.4982718863
MonotonicityNot monotonic
2023-03-22T13:09:30.783057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9463
95.1%
1 429
 
4.3%
9 57
 
0.6%
ValueCountFrequency (%)
0 9463
95.1%
1 429
 
4.3%
9 57
 
0.6%
ValueCountFrequency (%)
9 57
 
0.6%
1 429
 
4.3%
0 9463
95.1%

p17_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.693436526
Minimum0
Maximum8
Zeros47
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:30.891211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.445671458
Coefficient of variation (CV)0.187909714
Kurtosis18.44929642
Mean7.693436526
Median Absolute Deviation (MAD)0
Skewness-4.515077863
Sum76542
Variance2.089965964
MonotonicityNot monotonic
2023-03-22T13:09:31.000516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9520
95.7%
1 382
 
3.8%
0 47
 
0.5%
ValueCountFrequency (%)
0 47
 
0.5%
1 382
 
3.8%
8 9520
95.7%
ValueCountFrequency (%)
8 9520
95.7%
1 382
 
3.8%
0 47
 
0.5%

p17_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.689315509
Minimum0
Maximum9
Zeros96
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:31.120828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.468496212
Coefficient of variation (CV)0.1909787953
Kurtosis18.63778169
Mean7.689315509
Median Absolute Deviation (MAD)0
Skewness-4.531680369
Sum76501
Variance2.156481126
MonotonicityNot monotonic
2023-03-22T13:09:31.220441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9520
95.7%
1 332
 
3.3%
0 96
 
1.0%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 96
 
1.0%
1 332
 
3.3%
8 9520
95.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9520
95.7%
1 332
 
3.3%
0 96
 
1.0%

p18
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.686300131
Minimum0
Maximum9
Zeros126
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:31.327804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.483183537
Coefficient of variation (CV)0.1929645619
Kurtosis18.68768134
Mean7.686300131
Median Absolute Deviation (MAD)0
Skewness-4.535859673
Sum76471
Variance2.199833404
MonotonicityNot monotonic
2023-03-22T13:09:31.427551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9520
95.7%
1 302
 
3.0%
0 126
 
1.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 126
 
1.3%
1 302
 
3.0%
8 9520
95.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9520
95.7%
1 302
 
3.0%
0 126
 
1.3%

p20
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1293597346
Minimum0
Maximum9
Zeros9230
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:31.533655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7915233732
Coefficient of variation (CV)6.118777031
Kurtosis109.7498924
Mean0.1293597346
Median Absolute Deviation (MAD)0
Skewness10.13074643
Sum1287
Variance0.6265092503
MonotonicityNot monotonic
2023-03-22T13:09:31.634236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9230
92.8%
1 648
 
6.5%
9 71
 
0.7%
ValueCountFrequency (%)
0 9230
92.8%
1 648
 
6.5%
9 71
 
0.7%
ValueCountFrequency (%)
9 71
 
0.7%
1 648
 
6.5%
0 9230
92.8%

p20_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.538044025
Minimum0
Maximum9
Zeros68
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:31.743180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.753875894
Coefficient of variation (CV)0.2326698927
Kurtosis10.58357025
Mean7.538044025
Median Absolute Deviation (MAD)0
Skewness-3.541276995
Sum74996
Variance3.076080653
MonotonicityNot monotonic
2023-03-22T13:09:31.843001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9301
93.5%
1 579
 
5.8%
0 68
 
0.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 68
 
0.7%
1 579
 
5.8%
8 9301
93.5%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9301
93.5%
1 579
 
5.8%
0 68
 
0.7%

p20_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.54095889
Minimum0
Maximum9
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:31.949961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.742136081
Coefficient of variation (CV)0.2310231505
Kurtosis10.53330619
Mean7.54095889
Median Absolute Deviation (MAD)0
Skewness-3.536288297
Sum75025
Variance3.035038123
MonotonicityNot monotonic
2023-03-22T13:09:32.049614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9301
93.5%
1 608
 
6.1%
0 39
 
0.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 39
 
0.4%
1 608
 
6.1%
8 9301
93.5%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9301
93.5%
1 608
 
6.1%
0 39
 
0.4%

p21
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.538446075
Minimum0
Maximum8
Zeros56
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:32.156131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.750195129
Coefficient of variation (CV)0.2321692178
Kurtosis10.54070882
Mean7.538446075
Median Absolute Deviation (MAD)0
Skewness-3.53615697
Sum75000
Variance3.063182989
MonotonicityNot monotonic
2023-03-22T13:09:32.265430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9301
93.5%
1 592
 
6.0%
0 56
 
0.6%
ValueCountFrequency (%)
0 56
 
0.6%
1 592
 
6.0%
8 9301
93.5%
ValueCountFrequency (%)
8 9301
93.5%
1 592
 
6.0%
0 56
 
0.6%

p24
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1973062619
Minimum0
Maximum9
Zeros8610
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:32.384844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8502517312
Coefficient of variation (CV)4.309299273
Kurtosis87.2372687
Mean0.1973062619
Median Absolute Deviation (MAD)0
Skewness8.798486436
Sum1963
Variance0.7229280064
MonotonicityNot monotonic
2023-03-22T13:09:32.485281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8610
86.5%
1 1261
 
12.7%
9 78
 
0.8%
ValueCountFrequency (%)
0 8610
86.5%
1 1261
 
12.7%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 1261
 
12.7%
0 8610
86.5%

p24_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.102623379
Minimum0
Maximum9
Zeros157
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:32.594179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.368287958
Coefficient of variation (CV)0.333438482
Kurtosis3.159660693
Mean7.102623379
Median Absolute Deviation (MAD)0
Skewness-2.265055772
Sum70664
Variance5.60878785
MonotonicityNot monotonic
2023-03-22T13:09:32.693882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8688
87.3%
1 1097
 
11.0%
0 157
 
1.6%
9 7
 
0.1%
ValueCountFrequency (%)
0 157
 
1.6%
1 1097
 
11.0%
8 8688
87.3%
9 7
 
0.1%
ValueCountFrequency (%)
9 7
 
0.1%
8 8688
87.3%
1 1097
 
11.0%
0 157
 
1.6%

p24_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.096391597
Minimum0
Maximum9
Zeros235
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:32.800933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.388624034
Coefficient of variation (CV)0.3365969875
Kurtosis3.199354034
Mean7.096391597
Median Absolute Deviation (MAD)0
Skewness-2.271814756
Sum70602
Variance5.705524775
MonotonicityNot monotonic
2023-03-22T13:09:32.900437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8688
87.3%
1 1017
 
10.2%
0 235
 
2.4%
9 9
 
0.1%
ValueCountFrequency (%)
0 235
 
2.4%
1 1017
 
10.2%
8 8688
87.3%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 8688
87.3%
1 1017
 
10.2%
0 235
 
2.4%

p25
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.08573726
Minimum0
Maximum9
Zeros325
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:33.007596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.414852059
Coefficient of variation (CV)0.3408046291
Kurtosis3.209573682
Mean7.08573726
Median Absolute Deviation (MAD)0
Skewness-2.272727821
Sum70496
Variance5.831510466
MonotonicityNot monotonic
2023-03-22T13:09:33.107212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8688
87.3%
1 929
 
9.3%
0 325
 
3.3%
9 7
 
0.1%
ValueCountFrequency (%)
0 325
 
3.3%
1 929
 
9.3%
8 8688
87.3%
9 7
 
0.1%
ValueCountFrequency (%)
9 7
 
0.1%
8 8688
87.3%
1 929
 
9.3%
0 325
 
3.3%

p26
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1886621771
Minimum0
Maximum9
Zeros8672
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:33.214906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8342103001
Coefficient of variation (CV)4.421714585
Kurtosis91.00675427
Mean0.1886621771
Median Absolute Deviation (MAD)0
Skewness8.987207052
Sum1877
Variance0.6959068248
MonotonicityNot monotonic
2023-03-22T13:09:33.315599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8672
87.2%
1 1202
 
12.1%
9 75
 
0.8%
ValueCountFrequency (%)
0 8672
87.2%
1 1202
 
12.1%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
1 1202
 
12.1%
0 8672
87.2%

p26_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.143532013
Minimum0
Maximum9
Zeros123
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:33.424454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.31576988
Coefficient of variation (CV)0.3241771543
Kurtosis3.501633342
Mean7.143532013
Median Absolute Deviation (MAD)0
Skewness-2.340196276
Sum71071
Variance5.362790137
MonotonicityNot monotonic
2023-03-22T13:09:33.523951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8747
87.9%
1 1077
 
10.8%
0 123
 
1.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 123
 
1.2%
1 1077
 
10.8%
8 8747
87.9%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 8747
87.9%
1 1077
 
10.8%
0 123
 
1.2%

p26_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.152980199
Minimum0
Maximum9
Zeros69
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:33.630916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.296374919
Coefficient of variation (CV)0.3210375054
Kurtosis3.506649125
Mean7.152980199
Median Absolute Deviation (MAD)0
Skewness-2.3429699
Sum71165
Variance5.27333777
MonotonicityNot monotonic
2023-03-22T13:09:33.730489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8747
87.9%
1 1126
 
11.3%
0 69
 
0.7%
9 7
 
0.1%
ValueCountFrequency (%)
0 69
 
0.7%
1 1126
 
11.3%
8 8747
87.9%
9 7
 
0.1%
ValueCountFrequency (%)
9 7
 
0.1%
8 8747
87.9%
1 1126
 
11.3%
0 69
 
0.7%

p27
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.148658157
Minimum0
Maximum9
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:33.838514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.302581866
Coefficient of variation (CV)0.3220998705
Kurtosis3.486151605
Mean7.148658157
Median Absolute Deviation (MAD)0
Skewness-2.338375095
Sum71122
Variance5.301883252
MonotonicityNot monotonic
2023-03-22T13:09:33.938039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8747
87.9%
1 1119
 
11.2%
0 80
 
0.8%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 80
 
0.8%
1 1119
 
11.2%
8 8747
87.9%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 8747
87.9%
1 1119
 
11.2%
0 80
 
0.8%

p28
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1963011358
Minimum0
Maximum9
Zeros8948
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:34.044509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.009485764
Coefficient of variation (CV)5.142536543
Kurtosis66.27219566
Mean0.1963011358
Median Absolute Deviation (MAD)0
Skewness7.973985205
Sum1953
Variance1.019061508
MonotonicityNot monotonic
2023-03-22T13:09:34.145943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8948
89.9%
1 882
 
8.9%
9 119
 
1.2%
ValueCountFrequency (%)
0 8948
89.9%
1 882
 
8.9%
9 119
 
1.2%
ValueCountFrequency (%)
9 119
 
1.2%
1 882
 
8.9%
0 8948
89.9%

p28_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.36526284
Minimum0
Maximum9
Zeros229
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:34.254878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.057590487
Coefficient of variation (CV)0.2793641628
Kurtosis6.703552399
Mean7.36526284
Median Absolute Deviation (MAD)0
Skewness-2.939701579
Sum73277
Variance4.233678613
MonotonicityNot monotonic
2023-03-22T13:09:34.354652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9067
91.1%
1 642
 
6.5%
0 229
 
2.3%
9 11
 
0.1%
ValueCountFrequency (%)
0 229
 
2.3%
1 642
 
6.5%
8 9067
91.1%
9 11
 
0.1%
ValueCountFrequency (%)
9 11
 
0.1%
8 9067
91.1%
1 642
 
6.5%
0 229
 
2.3%

p28_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.368378732
Minimum0
Maximum9
Zeros150
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:34.461755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.036530374
Coefficient of variation (CV)0.2763878526
Kurtosis6.585402146
Mean7.368378732
Median Absolute Deviation (MAD)0
Skewness-2.921968941
Sum73308
Variance4.147455966
MonotonicityNot monotonic
2023-03-22T13:09:34.561202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9067
91.1%
1 727
 
7.3%
0 150
 
1.5%
9 5
 
0.1%
ValueCountFrequency (%)
0 150
 
1.5%
1 727
 
7.3%
8 9067
91.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 9067
91.1%
1 727
 
7.3%
0 150
 
1.5%

p29
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.363956177
Minimum0
Maximum9
Zeros186
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:34.668294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.049623488
Coefficient of variation (CV)0.2783318421
Kurtosis6.594191279
Mean7.363956177
Median Absolute Deviation (MAD)0
Skewness-2.922518347
Sum73264
Variance4.200956442
MonotonicityNot monotonic
2023-03-22T13:09:34.767999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9067
91.1%
1 692
 
7.0%
0 186
 
1.9%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 186
 
1.9%
1 692
 
7.0%
8 9067
91.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 9067
91.1%
1 692
 
7.0%
0 186
 
1.9%

p30
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.151170972
Minimum0
Maximum9
Zeros9133
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:34.874595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8664686254
Coefficient of variation (CV)5.731713001
Kurtosis91.16038824
Mean0.151170972
Median Absolute Deviation (MAD)0
Skewness9.273899734
Sum1504
Variance0.7507678788
MonotonicityNot monotonic
2023-03-22T13:09:34.975292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9133
91.8%
1 730
 
7.3%
9 86
 
0.9%
ValueCountFrequency (%)
0 9133
91.8%
1 730
 
7.3%
9 86
 
0.9%
ValueCountFrequency (%)
9 86
 
0.9%
1 730
 
7.3%
0 9133
91.8%

p30_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.48175696
Minimum0
Maximum9
Zeros86
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:35.084161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.852739495
Coefficient of variation (CV)0.2476342796
Kurtosis8.933382117
Mean7.48175696
Median Absolute Deviation (MAD)0
Skewness-3.299818555
Sum74436
Variance3.432643636
MonotonicityNot monotonic
2023-03-22T13:09:35.183684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9219
92.7%
1 639
 
6.4%
0 86
 
0.9%
9 5
 
0.1%
ValueCountFrequency (%)
0 86
 
0.9%
1 639
 
6.4%
8 9219
92.7%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 9219
92.7%
1 639
 
6.4%
0 86
 
0.9%

p30_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.47944517
Minimum0
Maximum9
Zeros77
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:35.290942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.853637426
Coefficient of variation (CV)0.247830873
Kurtosis8.848911353
Mean7.47944517
Median Absolute Deviation (MAD)0
Skewness-3.287887763
Sum74413
Variance3.435971707
MonotonicityNot monotonic
2023-03-22T13:09:35.390747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9219
92.7%
1 652
 
6.6%
0 77
 
0.8%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 77
 
0.8%
1 652
 
6.6%
8 9219
92.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9219
92.7%
1 652
 
6.6%
0 77
 
0.8%

p31
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.477535431
Minimum0
Maximum8
Zeros88
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:35.497104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.858868191
Coefficient of variation (CV)0.2485936988
Kurtosis8.844048394
Mean7.477535431
Median Absolute Deviation (MAD)0
Skewness-3.286646361
Sum74394
Variance3.45539095
MonotonicityNot monotonic
2023-03-22T13:09:35.606316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9219
92.7%
1 642
 
6.5%
0 88
 
0.9%
ValueCountFrequency (%)
0 88
 
0.9%
1 642
 
6.5%
8 9219
92.7%
ValueCountFrequency (%)
8 9219
92.7%
1 642
 
6.5%
0 88
 
0.9%

p31_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1411197105
Minimum0
Maximum9
Zeros9033
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:35.725981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7501419197
Coefficient of variation (CV)5.315642421
Kurtosis116.4911993
Mean0.1411197105
Median Absolute Deviation (MAD)0
Skewness10.22452115
Sum1404
Variance0.5627128997
MonotonicityNot monotonic
2023-03-22T13:09:35.826461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9033
90.8%
1 855
 
8.6%
9 61
 
0.6%
ValueCountFrequency (%)
0 9033
90.8%
1 855
 
8.6%
9 61
 
0.6%
ValueCountFrequency (%)
9 61
 
0.6%
1 855
 
8.6%
0 9033
90.8%

p31_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.392602272
Minimum0
Maximum9
Zeros82
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:35.935404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.987862637
Coefficient of variation (CV)0.2688989024
Kurtosis6.867644732
Mean7.392602272
Median Absolute Deviation (MAD)0
Skewness-2.972426812
Sum73549
Variance3.951597862
MonotonicityNot monotonic
2023-03-22T13:09:36.035016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9094
91.4%
1 770
 
7.7%
0 82
 
0.8%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 82
 
0.8%
1 770
 
7.7%
8 9094
91.4%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9094
91.4%
1 770
 
7.7%
0 82
 
0.8%

p31_3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.386672027
Minimum0
Maximum9
Zeros181
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:36.143298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.017302336
Coefficient of variation (CV)0.2731002986
Kurtosis7.010011317
Mean7.386672027
Median Absolute Deviation (MAD)0
Skewness-2.992219371
Sum73490
Variance4.069508716
MonotonicityNot monotonic
2023-03-22T13:09:36.242968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9094
91.4%
1 666
 
6.7%
0 181
 
1.8%
9 8
 
0.1%
ValueCountFrequency (%)
0 181
 
1.8%
1 666
 
6.7%
8 9094
91.4%
9 8
 
0.1%
ValueCountFrequency (%)
9 8
 
0.1%
8 9094
91.4%
1 666
 
6.7%
0 181
 
1.8%

p31_4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.380138707
Minimum0
Maximum9
Zeros270
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:36.350135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.044791834
Coefficient of variation (CV)0.2770668567
Kurtosis7.087872657
Mean7.380138707
Median Absolute Deviation (MAD)0
Skewness-3.003404385
Sum73425
Variance4.181173644
MonotonicityNot monotonic
2023-03-22T13:09:36.450935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9094
91.4%
1 574
 
5.8%
0 270
 
2.7%
9 11
 
0.1%
ValueCountFrequency (%)
0 270
 
2.7%
1 574
 
5.8%
8 9094
91.4%
9 11
 
0.1%
ValueCountFrequency (%)
9 11
 
0.1%
8 9094
91.4%
1 574
 
5.8%
0 270
 
2.7%

p31_5
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.286863001
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:36.559773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.893455094
Coefficient of variation (CV)0.2598450244
Kurtosis3.247176006
Mean7.286863001
Median Absolute Deviation (MAD)0
Skewness-2.226459891
Sum72497
Variance3.585172195
MonotonicityNot monotonic
2023-03-22T13:09:36.674349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 8281
83.2%
2 931
 
9.4%
4 301
 
3.0%
9 249
 
2.5%
5 65
 
0.7%
6 47
 
0.5%
7 34
 
0.3%
3 28
 
0.3%
1 13
 
0.1%
ValueCountFrequency (%)
1 13
 
0.1%
2 931
9.4%
3 28
 
0.3%
4 301
 
3.0%
5 65
 
0.7%
ValueCountFrequency (%)
9 249
 
2.5%
8 8281
83.2%
7 34
 
0.3%
6 47
 
0.5%
5 65
 
0.7%

p31_6
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.702985225
Minimum0
Maximum8
Zeros1228
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:36.798089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.895709729
Coefficient of variation (CV)0.4320030005
Kurtosis1.24477312
Mean6.702985225
Median Absolute Deviation (MAD)0
Skewness-1.794530665
Sum66688
Variance8.385134835
MonotonicityNot monotonic
2023-03-22T13:09:36.907360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 8281
83.2%
0 1228
 
12.3%
1 440
 
4.4%
ValueCountFrequency (%)
0 1228
 
12.3%
1 440
 
4.4%
8 8281
83.2%
ValueCountFrequency (%)
8 8281
83.2%
1 440
 
4.4%
0 1228
 
12.3%

p31_7
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.05960398
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:37.030700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q188
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.56916504
Coefficient of variation (CV)0.3707411349
Kurtosis2.976651644
Mean77.05960398
Median Absolute Deviation (MAD)0
Skewness-2.229875426
Sum766666
Variance816.1971909
MonotonicityNot monotonic
2023-03-22T13:09:37.135621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88 8676
87.2%
2 702
 
7.1%
1 279
 
2.8%
5 108
 
1.1%
4 63
 
0.6%
8 62
 
0.6%
3 49
 
0.5%
6 10
 
0.1%
ValueCountFrequency (%)
1 279
 
2.8%
2 702
7.1%
3 49
 
0.5%
4 63
 
0.6%
5 108
 
1.1%
ValueCountFrequency (%)
88 8676
87.2%
8 62
 
0.6%
6 10
 
0.1%
5 108
 
1.1%
4 63
 
0.6%

p22
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1366971555
Minimum0
Maximum9
Zeros9189
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:37.244826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8129240948
Coefficient of variation (CV)5.946898396
Kurtosis103.6905581
Mean0.1366971555
Median Absolute Deviation (MAD)0
Skewness9.851581248
Sum1360
Variance0.6608455839
MonotonicityNot monotonic
2023-03-22T13:09:37.345442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9189
92.4%
1 685
 
6.9%
9 75
 
0.8%
ValueCountFrequency (%)
0 9189
92.4%
1 685
 
6.9%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
1 685
 
6.9%
0 9189
92.4%

p22_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.51442356
Minimum0
Maximum9
Zeros76
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:37.454366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.796860401
Coefficient of variation (CV)0.2391215223
Kurtosis9.838069357
Mean7.51442356
Median Absolute Deviation (MAD)0
Skewness-3.434035129
Sum74761
Variance3.2287073
MonotonicityNot monotonic
2023-03-22T13:09:37.554195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9264
93.1%
1 604
 
6.1%
0 76
 
0.8%
9 5
 
0.1%
ValueCountFrequency (%)
0 76
 
0.8%
1 604
 
6.1%
8 9264
93.1%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 9264
93.1%
1 604
 
6.1%
0 76
 
0.8%

p22_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.513217409
Minimum0
Maximum9
Zeros56
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:37.661507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.793509943
Coefficient of variation (CV)0.2387139684
Kurtosis9.725150996
Mean7.513217409
Median Absolute Deviation (MAD)0
Skewness-3.4192632
Sum74749
Variance3.216677916
MonotonicityNot monotonic
2023-03-22T13:09:37.761036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9264
93.1%
1 628
 
6.3%
0 56
 
0.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 56
 
0.6%
1 628
 
6.3%
8 9264
93.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9264
93.1%
1 628
 
6.3%
0 56
 
0.6%

p22_3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.512714846
Minimum0
Maximum8
Zeros53
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:37.867278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.793457528
Coefficient of variation (CV)0.2387229603
Kurtosis9.699808717
Mean7.512714846
Median Absolute Deviation (MAD)0
Skewness-3.415866798
Sum74744
Variance3.216489905
MonotonicityNot monotonic
2023-03-22T13:09:37.976520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9264
93.1%
1 632
 
6.4%
0 53
 
0.5%
ValueCountFrequency (%)
0 53
 
0.5%
1 632
 
6.4%
8 9264
93.1%
ValueCountFrequency (%)
8 9264
93.1%
1 632
 
6.4%
0 53
 
0.5%

p22_4
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.65705096
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:38.099992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.343716777
Coefficient of variation (CV)0.1754875061
Kurtosis12.52569965
Mean7.65705096
Median Absolute Deviation (MAD)0
Skewness-3.768408137
Sum76180
Variance1.805574776
MonotonicityNot monotonic
2023-03-22T13:09:38.214427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 9317
93.6%
2 440
 
4.4%
4 146
 
1.5%
3 13
 
0.1%
5 11
 
0.1%
6 10
 
0.1%
1 10
 
0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 10
 
0.1%
2 440
4.4%
3 13
 
0.1%
4 146
 
1.5%
5 11
 
0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9317
93.6%
7 1
 
< 0.1%
6 10
 
0.1%
5 11
 
0.1%

p22_5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.507287165
Minimum0
Maximum8
Zeros478
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:38.338053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.894978913
Coefficient of variation (CV)0.2524185997
Kurtosis11.00048523
Mean7.507287165
Median Absolute Deviation (MAD)0
Skewness-3.598760712
Sum74690
Variance3.590945082
MonotonicityNot monotonic
2023-03-22T13:09:38.447583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9317
93.6%
0 478
 
4.8%
1 154
 
1.5%
ValueCountFrequency (%)
0 478
 
4.8%
1 154
 
1.5%
8 9317
93.6%
ValueCountFrequency (%)
8 9317
93.6%
1 154
 
1.5%
0 478
 
4.8%

p22_6
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.77746507
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:38.572049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.48038699
Coefficient of variation (CV)0.2474150057
Kurtosis11.45817362
Mean82.77746507
Median Absolute Deviation (MAD)0
Skewness-3.6672691
Sum823553
Variance419.4462513
MonotonicityNot monotonic
2023-03-22T13:09:38.690336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
88 9340
93.9%
2 367
 
3.7%
1 105
 
1.1%
4 40
 
0.4%
5 37
 
0.4%
8 29
 
0.3%
3 21
 
0.2%
6 8
 
0.1%
7 1
 
< 0.1%
99 1
 
< 0.1%
ValueCountFrequency (%)
1 105
 
1.1%
2 367
3.7%
3 21
 
0.2%
4 40
 
0.4%
5 37
 
0.4%
ValueCountFrequency (%)
99 1
 
< 0.1%
88 9340
93.9%
8 29
 
0.3%
7 1
 
< 0.1%
6 8
 
0.1%

p33
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1645391497
Minimum0
Maximum9
Zeros8832
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:38.803979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7796961955
Coefficient of variation (CV)4.738666737
Kurtosis104.9492651
Mean0.1645391497
Median Absolute Deviation (MAD)0
Skewness9.631689241
Sum1637
Variance0.6079261572
MonotonicityNot monotonic
2023-03-22T13:09:38.904403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8832
88.8%
1 1052
 
10.6%
9 65
 
0.7%
ValueCountFrequency (%)
0 8832
88.8%
1 1052
 
10.6%
9 65
 
0.7%
ValueCountFrequency (%)
9 65
 
0.7%
1 1052
 
10.6%
0 8832
88.8%

p33_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.251482561
Minimum0
Maximum8
Zeros83
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:39.014300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.17866041
Coefficient of variation (CV)0.3004434461
Kurtosis4.643458896
Mean7.251482561
Median Absolute Deviation (MAD)0
Skewness-2.57317012
Sum72145
Variance4.746561181
MonotonicityNot monotonic
2023-03-22T13:09:39.123761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 8897
89.4%
1 969
 
9.7%
0 83
 
0.8%
ValueCountFrequency (%)
0 83
 
0.8%
1 969
 
9.7%
8 8897
89.4%
ValueCountFrequency (%)
8 8897
89.4%
1 969
 
9.7%
0 83
 
0.8%

p33_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.253492813
Minimum0
Maximum9
Zeros87
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:39.243935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.177411985
Coefficient of variation (CV)0.3001880668
Kurtosis4.672302943
Mean7.253492813
Median Absolute Deviation (MAD)0
Skewness-2.578411394
Sum72165
Variance4.741122952
MonotonicityNot monotonic
2023-03-22T13:09:39.343714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8897
89.4%
1 962
 
9.7%
0 87
 
0.9%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 87
 
0.9%
1 962
 
9.7%
8 8897
89.4%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 8897
89.4%
1 962
 
9.7%
0 87
 
0.9%

p34
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.249572821
Minimum0
Maximum9
Zeros118
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:39.450822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.187880834
Coefficient of variation (CV)0.3017944489
Kurtosis4.683232931
Mean7.249572821
Median Absolute Deviation (MAD)0
Skewness-2.579394005
Sum72126
Variance4.786822546
MonotonicityNot monotonic
2023-03-22T13:09:39.550477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8897
89.4%
1 932
 
9.4%
0 118
 
1.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 118
 
1.2%
1 932
 
9.4%
8 8897
89.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 8897
89.4%
1 932
 
9.4%
0 118
 
1.2%

p35
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.374510001
Minimum0
Maximum9
Zeros6855
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:39.656754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8978023327
Coefficient of variation (CV)2.397271983
Kurtosis64.78779595
Mean0.374510001
Median Absolute Deviation (MAD)0
Skewness7.09596851
Sum3726
Variance0.8060490286
MonotonicityNot monotonic
2023-03-22T13:09:39.757230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6855
68.9%
1 3015
30.3%
9 79
 
0.8%
ValueCountFrequency (%)
0 6855
68.9%
1 3015
30.3%
9 79
 
0.8%
ValueCountFrequency (%)
9 79
 
0.8%
1 3015
30.3%
0 6855
68.9%

p35_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.840084431
Minimum0
Maximum9
Zeros472
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:39.866087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.292968931
Coefficient of variation (CV)0.5638563912
Kurtosis-1.212559178
Mean5.840084431
Median Absolute Deviation (MAD)0
Skewness-0.8753797749
Sum58103
Variance10.84364438
MonotonicityNot monotonic
2023-03-22T13:09:39.972143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6934
69.7%
1 2532
 
25.4%
0 472
 
4.7%
9 11
 
0.1%
ValueCountFrequency (%)
0 472
 
4.7%
1 2532
 
25.4%
8 6934
69.7%
9 11
 
0.1%
ValueCountFrequency (%)
9 11
 
0.1%
8 6934
69.7%
1 2532
 
25.4%
0 472
 
4.7%

p35_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.866720273
Minimum0
Maximum9
Zeros215
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:40.086616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.250487438
Coefficient of variation (CV)0.5540552961
Kurtosis-1.231793904
Mean5.866720273
Median Absolute Deviation (MAD)0
Skewness-0.8697623125
Sum58368
Variance10.56566858
MonotonicityNot monotonic
2023-03-22T13:09:40.192864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6934
69.7%
1 2788
28.0%
0 215
 
2.2%
9 12
 
0.1%
ValueCountFrequency (%)
0 215
 
2.2%
1 2788
28.0%
8 6934
69.7%
9 12
 
0.1%
ValueCountFrequency (%)
9 12
 
0.1%
8 6934
69.7%
1 2788
28.0%
0 215
 
2.2%

p36
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.847120314
Minimum0
Maximum9
Zeros442
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:40.307335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.287039866
Coefficient of variation (CV)0.5621638841
Kurtosis-1.209952356
Mean5.847120314
Median Absolute Deviation (MAD)0
Skewness-0.8772095776
Sum58173
Variance10.80463108
MonotonicityNot monotonic
2023-03-22T13:09:40.413402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 6934
69.7%
1 2557
 
25.7%
0 442
 
4.4%
9 16
 
0.2%
ValueCountFrequency (%)
0 442
 
4.4%
1 2557
 
25.7%
8 6934
69.7%
9 16
 
0.2%
ValueCountFrequency (%)
9 16
 
0.2%
8 6934
69.7%
1 2557
 
25.7%
0 442
 
4.4%

p36_1
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.742084632
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:40.528477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.297403938
Coefficient of variation (CV)0.3407557252
Kurtosis0.1287196138
Mean6.742084632
Median Absolute Deviation (MAD)0
Skewness-1.396233136
Sum67077
Variance5.278064854
MonotonicityNot monotonic
2023-03-22T13:09:42.920317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 7369
74.1%
2 1497
 
15.0%
4 575
 
5.8%
7 211
 
2.1%
5 88
 
0.9%
3 81
 
0.8%
6 59
 
0.6%
1 38
 
0.4%
9 31
 
0.3%
ValueCountFrequency (%)
1 38
 
0.4%
2 1497
15.0%
3 81
 
0.8%
4 575
 
5.8%
5 88
 
0.9%
ValueCountFrequency (%)
9 31
 
0.3%
8 7369
74.1%
7 211
 
2.1%
6 59
 
0.6%
5 88
 
0.9%

p36_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.984923108
Minimum0
Maximum8
Zeros1988
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:43.052723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.412437021
Coefficient of variation (CV)0.5701722411
Kurtosis-0.7476345145
Mean5.984923108
Median Absolute Deviation (MAD)0
Skewness-1.111312286
Sum59544
Variance11.64472642
MonotonicityNot monotonic
2023-03-22T13:09:43.169136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 7369
74.1%
0 1988
 
20.0%
1 592
 
6.0%
ValueCountFrequency (%)
0 1988
 
20.0%
1 592
 
6.0%
8 7369
74.1%
ValueCountFrequency (%)
8 7369
74.1%
1 592
 
6.0%
0 1988
 
20.0%

p36_3
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.19690421
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:43.301458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.43290389
Coefficient of variation (CV)0.5120590913
Kurtosis-0.1626253758
Mean69.19690421
Median Absolute Deviation (MAD)0
Skewness-1.354373934
Sum688440
Variance1255.490678
MonotonicityNot monotonic
2023-03-22T13:09:43.420234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
88 7758
78.0%
2 1184
 
11.9%
1 511
 
5.1%
5 162
 
1.6%
8 125
 
1.3%
3 108
 
1.1%
4 82
 
0.8%
6 14
 
0.1%
99 3
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
1 511
5.1%
2 1184
11.9%
3 108
 
1.1%
4 82
 
0.8%
5 162
 
1.6%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 7758
78.0%
8 125
 
1.3%
7 2
 
< 0.1%
6 14
 
0.1%

p37
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1163936074
Minimum0
Maximum9
Zeros9287
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:43.534077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7426909772
Coefficient of variation (CV)6.380857109
Kurtosis124.776944
Mean0.1163936074
Median Absolute Deviation (MAD)0
Skewness10.76608769
Sum1158
Variance0.5515898877
MonotonicityNot monotonic
2023-03-22T13:09:43.634571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9287
93.3%
1 600
 
6.0%
9 62
 
0.6%
ValueCountFrequency (%)
0 9287
93.3%
1 600
 
6.0%
9 62
 
0.6%
ValueCountFrequency (%)
9 62
 
0.6%
1 600
 
6.0%
0 9287
93.3%

p37_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.571615238
Minimum0
Maximum9
Zeros70
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:43.743583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.694862745
Coefficient of variation (CV)0.2238442779
Kurtosis11.83369028
Mean7.571615238
Median Absolute Deviation (MAD)0
Skewness-3.712674854
Sum75330
Variance2.872559725
MonotonicityNot monotonic
2023-03-22T13:09:43.843235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9349
94.0%
1 529
 
5.3%
0 70
 
0.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 70
 
0.7%
1 529
 
5.3%
8 9349
94.0%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9349
94.0%
1 529
 
5.3%
0 70
 
0.7%

p37_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.564981405
Minimum0
Maximum9
Zeros144
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:43.950579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.724409059
Coefficient of variation (CV)0.2279462389
Kurtosis11.96087536
Mean7.564981405
Median Absolute Deviation (MAD)0
Skewness-3.725963874
Sum75264
Variance2.973586602
MonotonicityNot monotonic
2023-03-22T13:09:44.052238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9349
94.0%
1 454
 
4.6%
0 144
 
1.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 144
 
1.4%
1 454
 
4.6%
8 9349
94.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9349
94.0%
1 454
 
4.6%
0 144
 
1.4%

p38
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.561061413
Minimum0
Maximum9
Zeros191
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:44.159516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.742470596
Coefficient of variation (CV)0.2304531733
Kurtosis12.02323656
Mean7.561061413
Median Absolute Deviation (MAD)0
Skewness-3.733086878
Sum75225
Variance3.036203779
MonotonicityNot monotonic
2023-03-22T13:09:44.259021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9349
94.0%
1 406
 
4.1%
0 191
 
1.9%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 191
 
1.9%
1 406
 
4.1%
8 9349
94.0%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9349
94.0%
1 406
 
4.1%
0 191
 
1.9%

p40
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1065433712
Minimum0
Maximum9
Zeros9369
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:44.366385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7276397409
Coefficient of variation (CV)6.829516776
Kurtosis131.7956395
Mean0.1065433712
Median Absolute Deviation (MAD)0
Skewness11.10834561
Sum1060
Variance0.5294595925
MonotonicityNot monotonic
2023-03-22T13:09:44.466999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9369
94.2%
1 520
 
5.2%
9 60
 
0.6%
ValueCountFrequency (%)
0 9369
94.2%
1 520
 
5.2%
9 60
 
0.6%
ValueCountFrequency (%)
9 60
 
0.6%
1 520
 
5.2%
0 9369
94.2%

p40_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.631822294
Minimum0
Maximum9
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:44.576027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.570881403
Coefficient of variation (CV)0.2058330687
Kurtosis14.33119949
Mean7.631822294
Median Absolute Deviation (MAD)0
Skewness-4.036952789
Sum75929
Variance2.467668382
MonotonicityNot monotonic
2023-03-22T13:09:44.675664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9429
94.8%
1 488
 
4.9%
0 31
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 31
 
0.3%
1 488
 
4.9%
8 9429
94.8%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9429
94.8%
1 488
 
4.9%
0 31
 
0.3%

p40_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6262941
Minimum0
Maximum8
Zeros78
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:44.782073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.593505664
Coefficient of variation (CV)0.2089488869
Kurtosis14.41063372
Mean7.6262941
Median Absolute Deviation (MAD)0
Skewness-4.042829738
Sum75874
Variance2.5392603
MonotonicityNot monotonic
2023-03-22T13:09:44.891764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9429
94.8%
1 442
 
4.4%
0 78
 
0.8%
ValueCountFrequency (%)
0 78
 
0.8%
1 442
 
4.4%
8 9429
94.8%
ValueCountFrequency (%)
8 9429
94.8%
1 442
 
4.4%
0 78
 
0.8%

p41
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.623680772
Minimum0
Maximum9
Zeros120
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:45.012281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.609651879
Coefficient of variation (CV)0.2111384156
Kurtosis14.55386346
Mean7.623680772
Median Absolute Deviation (MAD)0
Skewness-4.057875268
Sum75848
Variance2.590979173
MonotonicityNot monotonic
2023-03-22T13:09:45.111936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9429
94.8%
1 398
 
4.0%
0 120
 
1.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 120
 
1.2%
1 398
 
4.0%
8 9429
94.8%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9429
94.8%
1 398
 
4.0%
0 120
 
1.2%

p43
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09478339532
Minimum0
Maximum9
Zeros9478
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:45.218239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7161205448
Coefficient of variation (CV)7.55533754
Kurtosis139.0147277
Mean0.09478339532
Median Absolute Deviation (MAD)0
Skewness11.48864451
Sum943
Variance0.5128286347
MonotonicityNot monotonic
2023-03-22T13:09:45.319235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9478
95.3%
1 412
 
4.1%
9 59
 
0.6%
ValueCountFrequency (%)
0 9478
95.3%
1 412
 
4.1%
9 59
 
0.6%
ValueCountFrequency (%)
9 59
 
0.6%
1 412
 
4.1%
0 9478
95.3%

p43_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.707910343
Minimum0
Maximum8
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:45.427824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.406129506
Coefficient of variation (CV)0.1824268113
Kurtosis19.31488808
Mean7.707910343
Median Absolute Deviation (MAD)0
Skewness-4.612729449
Sum76686
Variance1.977200187
MonotonicityNot monotonic
2023-03-22T13:09:45.539210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9537
95.9%
1 390
 
3.9%
0 22
 
0.2%
ValueCountFrequency (%)
0 22
 
0.2%
1 390
 
3.9%
8 9537
95.9%
ValueCountFrequency (%)
8 9537
95.9%
1 390
 
3.9%
0 22
 
0.2%

p43_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.706603679
Minimum0
Maximum8
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:45.661183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.412811738
Coefficient of variation (CV)0.1833248207
Kurtosis19.37256457
Mean7.706603679
Median Absolute Deviation (MAD)0
Skewness-4.617168917
Sum76673
Variance1.996037006
MonotonicityNot monotonic
2023-03-22T13:09:45.772935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9537
95.9%
1 377
 
3.8%
0 35
 
0.4%
ValueCountFrequency (%)
0 35
 
0.4%
1 377
 
3.8%
8 9537
95.9%
ValueCountFrequency (%)
8 9537
95.9%
1 377
 
3.8%
0 35
 
0.4%

p44
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.703085737
Minimum0
Maximum8
Zeros70
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:45.894742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.430641306
Coefficient of variation (CV)0.1857231446
Kurtosis19.49652668
Mean7.703085737
Median Absolute Deviation (MAD)0
Skewness-4.6268518
Sum76638
Variance2.046734546
MonotonicityNot monotonic
2023-03-22T13:09:46.006360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9537
95.9%
1 342
 
3.4%
0 70
 
0.7%
ValueCountFrequency (%)
0 70
 
0.7%
1 342
 
3.4%
8 9537
95.9%
ValueCountFrequency (%)
8 9537
95.9%
1 342
 
3.4%
0 70
 
0.7%

p46
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07307267062
Minimum0
Maximum9
Zeros9694
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:46.128293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7033920463
Coefficient of variation (CV)9.625924991
Kurtosis151.0145696
Mean0.07307267062
Median Absolute Deviation (MAD)0
Skewness12.16999418
Sum727
Variance0.4947603708
MonotonicityNot monotonic
2023-03-22T13:09:46.229386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9694
97.4%
1 196
 
2.0%
9 59
 
0.6%
ValueCountFrequency (%)
0 9694
97.4%
1 196
 
2.0%
9 59
 
0.6%
ValueCountFrequency (%)
9 59
 
0.6%
1 196
 
2.0%
0 9694
97.4%

p46_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.860589004
Minimum0
Maximum8
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:46.337807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9841749931
Coefficient of variation (CV)0.1252037211
Kurtosis46.12857528
Mean7.860589004
Median Absolute Deviation (MAD)0
Skewness-6.930112124
Sum78205
Variance0.968600417
MonotonicityNot monotonic
2023-03-22T13:09:46.449430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9753
98.0%
1 181
 
1.8%
0 15
 
0.2%
ValueCountFrequency (%)
0 15
 
0.2%
1 181
 
1.8%
8 9753
98.0%
ValueCountFrequency (%)
8 9753
98.0%
1 181
 
1.8%
0 15
 
0.2%

p46_2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.858980802
Minimum0
Maximum8
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:46.571305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9961299291
Coefficient of variation (CV)0.1267505233
Kurtosis46.38659711
Mean7.858980802
Median Absolute Deviation (MAD)0
Skewness-6.943671381
Sum78189
Variance0.9922748357
MonotonicityNot monotonic
2023-03-22T13:09:46.682796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9753
98.0%
1 165
 
1.7%
0 31
 
0.3%
ValueCountFrequency (%)
0 31
 
0.3%
1 165
 
1.7%
8 9753
98.0%
ValueCountFrequency (%)
8 9753
98.0%
1 165
 
1.7%
0 31
 
0.3%

p47
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.858377726
Minimum0
Maximum8
Zeros37
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:46.804707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.000575539
Coefficient of variation (CV)0.1273259665
Kurtosis46.46219849
Mean7.858377726
Median Absolute Deviation (MAD)0
Skewness-6.947709192
Sum78183
Variance1.001151409
MonotonicityNot monotonic
2023-03-22T13:09:46.916358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9753
98.0%
1 159
 
1.6%
0 37
 
0.4%
ValueCountFrequency (%)
0 37
 
0.4%
1 159
 
1.6%
8 9753
98.0%
ValueCountFrequency (%)
8 9753
98.0%
1 159
 
1.6%
0 37
 
0.4%

p49
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1202130867
Minimum0
Maximum9
Zeros9233
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:47.037873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7348677938
Coefficient of variation (CV)6.113043211
Kurtosis125.7974397
Mean0.1202130867
Median Absolute Deviation (MAD)0
Skewness10.75257245
Sum1196
Variance0.5400306743
MonotonicityNot monotonic
2023-03-22T13:09:47.138364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9233
92.8%
1 656
 
6.6%
9 60
 
0.6%
ValueCountFrequency (%)
0 9233
92.8%
1 656
 
6.6%
9 60
 
0.6%
ValueCountFrequency (%)
9 60
 
0.6%
1 656
 
6.6%
0 9233
92.8%

p49_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.532415318
Minimum0
Maximum8
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:47.246548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.761537762
Coefficient of variation (CV)0.2338609446
Kurtosis10.35843087
Mean7.532415318
Median Absolute Deviation (MAD)0
Skewness-3.510115095
Sum74940
Variance3.103015285
MonotonicityNot monotonic
2023-03-22T13:09:47.355958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9293
93.4%
1 596
 
6.0%
0 60
 
0.6%
ValueCountFrequency (%)
0 60
 
0.6%
1 596
 
6.0%
8 9293
93.4%
ValueCountFrequency (%)
8 9293
93.4%
1 596
 
6.0%
0 60
 
0.6%

p49_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.515931249
Minimum0
Maximum9
Zeros248
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:47.476117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.832027669
Coefficient of variation (CV)0.2437525848
Kurtosis10.58857035
Mean7.515931249
Median Absolute Deviation (MAD)0
Skewness-3.536357182
Sum74776
Variance3.356325382
MonotonicityNot monotonic
2023-03-22T13:09:47.575819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9293
93.4%
1 405
 
4.1%
0 248
 
2.5%
9 3
 
< 0.1%
ValueCountFrequency (%)
0 248
 
2.5%
1 405
 
4.1%
8 9293
93.4%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9293
93.4%
1 405
 
4.1%
0 248
 
2.5%

p50
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.507689215
Minimum0
Maximum8
Zeros306
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:47.682335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.857473352
Coefficient of variation (CV)0.2474094624
Kurtosis10.52232312
Mean7.507689215
Median Absolute Deviation (MAD)0
Skewness-3.527462474
Sum74694
Variance3.450207255
MonotonicityNot monotonic
2023-03-22T13:09:47.792021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9293
93.4%
1 350
 
3.5%
0 306
 
3.1%
ValueCountFrequency (%)
0 306
 
3.1%
1 350
 
3.5%
8 9293
93.4%
ValueCountFrequency (%)
8 9293
93.4%
1 350
 
3.5%
0 306
 
3.1%

p55
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0869434114
Minimum0
Maximum9
Zeros9556
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:47.911390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7116268272
Coefficient of variation (CV)8.184942548
Kurtosis143.1316173
Mean0.0869434114
Median Absolute Deviation (MAD)0
Skewness11.72456296
Sum865
Variance0.5064127412
MonotonicityNot monotonic
2023-03-22T13:09:48.011876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9556
96.0%
1 334
 
3.4%
9 59
 
0.6%
ValueCountFrequency (%)
0 9556
96.0%
1 334
 
3.4%
9 59
 
0.6%
ValueCountFrequency (%)
9 59
 
0.6%
1 334
 
3.4%
0 9556
96.0%

p55_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.764297919
Minimum0
Maximum9
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:48.120882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.267827382
Coefficient of variation (CV)0.1632893785
Kurtosis25.04066905
Mean7.764297919
Median Absolute Deviation (MAD)0
Skewness-5.195951444
Sum77247
Variance1.607386271
MonotonicityNot monotonic
2023-03-22T13:09:48.222595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9615
96.6%
1 318
 
3.2%
0 15
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 15
 
0.2%
1 318
 
3.2%
8 9615
96.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9615
96.6%
1 318
 
3.2%
0 15
 
0.2%

p55_2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.762890743
Minimum0
Maximum9
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:48.332028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.275864666
Coefficient of variation (CV)0.1643543247
Kurtosis25.13646857
Mean7.762890743
Median Absolute Deviation (MAD)0
Skewness-5.202527077
Sum77233
Variance1.627830646
MonotonicityNot monotonic
2023-03-22T13:09:48.433850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9615
96.6%
1 304
 
3.1%
0 29
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 29
 
0.3%
1 304
 
3.1%
8 9615
96.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9615
96.6%
1 304
 
3.1%
0 29
 
0.3%

p56
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.759774852
Minimum0
Maximum8
Zeros52
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:48.542876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.290677575
Coefficient of variation (CV)0.1663292556
Kurtosis25.17584305
Mean7.759774852
Median Absolute Deviation (MAD)0
Skewness-5.203229583
Sum77202
Variance1.665848602
MonotonicityNot monotonic
2023-03-22T13:09:48.654395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9615
96.6%
1 282
 
2.8%
0 52
 
0.5%
ValueCountFrequency (%)
0 52
 
0.5%
1 282
 
2.8%
8 9615
96.6%
ValueCountFrequency (%)
8 9615
96.6%
1 282
 
2.8%
0 52
 
0.5%

p58
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.170368881
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:48.774765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8128086464
Coefficient of variation (CV)0.694489284
Kurtosis65.71041767
Mean1.170368881
Median Absolute Deviation (MAD)0
Skewness7.562169393
Sum11644
Variance0.6606578957
MonotonicityNot monotonic
2023-03-22T13:09:48.888379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 9098
91.4%
2 591
 
5.9%
4 122
 
1.2%
9 77
 
0.8%
3 61
 
0.6%
ValueCountFrequency (%)
1 9098
91.4%
2 591
 
5.9%
3 61
 
0.6%
4 122
 
1.2%
9 77
 
0.8%
ValueCountFrequency (%)
9 77
 
0.8%
4 122
 
1.2%
3 61
 
0.6%
2 591
 
5.9%
1 9098
91.4%

p59
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.89194894
Minimum0
Maximum99
Zeros86
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:49.019574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.80163072
Coefficient of variation (CV)0.2662243481
Kurtosis8.670805483
Mean81.89194894
Median Absolute Deviation (MAD)0
Skewness-3.25975685
Sum814743
Variance475.3111022
MonotonicityNot monotonic
2023-03-22T13:09:49.142835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
88 9175
92.2%
10 117
 
1.2%
5 88
 
0.9%
0 86
 
0.9%
2 85
 
0.9%
3 71
 
0.7%
8 61
 
0.6%
4 57
 
0.6%
1 55
 
0.6%
7 46
 
0.5%
Other values (3) 108
 
1.1%
ValueCountFrequency (%)
0 86
0.9%
1 55
0.6%
2 85
0.9%
3 71
0.7%
4 57
0.6%
ValueCountFrequency (%)
99 38
 
0.4%
88 9175
92.2%
10 117
 
1.2%
9 25
 
0.3%
8 61
 
0.6%

p59_1
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.679163735
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:49.259899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.308085133
Coefficient of variation (CV)0.1703421334
Kurtosis13.90471434
Mean7.679163735
Median Absolute Deviation (MAD)0
Skewness-3.947051662
Sum76400
Variance1.711086715
MonotonicityNot monotonic
2023-03-22T13:09:49.374393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 9342
93.9%
2 437
 
4.4%
4 87
 
0.9%
6 29
 
0.3%
5 19
 
0.2%
7 12
 
0.1%
3 9
 
0.1%
1 8
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
1 8
 
0.1%
2 437
4.4%
3 9
 
0.1%
4 87
 
0.9%
5 19
 
0.2%
ValueCountFrequency (%)
9 6
 
0.1%
8 9342
93.9%
7 12
 
0.1%
6 29
 
0.3%
5 19
 
0.2%

p59_2
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.34606493
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:49.502568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q188
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.41283628
Coefficient of variation (CV)0.2329184503
Kurtosis13.48545476
Mean83.34606493
Median Absolute Deviation (MAD)0
Skewness-3.933796609
Sum829210
Variance376.8582125
MonotonicityNot monotonic
2023-03-22T13:09:49.608713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
88 9408
94.6%
2 261
 
2.6%
1 159
 
1.6%
5 35
 
0.4%
8 29
 
0.3%
4 27
 
0.3%
3 24
 
0.2%
6 4
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
1 159
1.6%
2 261
2.6%
3 24
 
0.2%
4 27
 
0.3%
5 35
 
0.4%
ValueCountFrequency (%)
88 9408
94.6%
8 29
 
0.3%
7 2
 
< 0.1%
6 4
 
< 0.1%
5 35
 
0.4%

p61
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean839.1608202
Minimum11
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:49.752140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile68
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range988
Interquartile range (IQR)0

Descriptive statistics

Standard deviation197.0204864
Coefficient of variation (CV)0.2347827515
Kurtosis12.13955674
Mean839.1608202
Median Absolute Deviation (MAD)0
Skewness-3.756570056
Sum8348811
Variance38817.07204
MonotonicityNot monotonic
2023-03-22T13:09:49.922163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9342
93.9%
999 24
 
0.2%
49 20
 
0.2%
40 19
 
0.2%
35 18
 
0.2%
50 18
 
0.2%
45 18
 
0.2%
55 15
 
0.2%
56 15
 
0.2%
62 15
 
0.2%
Other values (70) 445
 
4.5%
ValueCountFrequency (%)
11 1
< 0.1%
13 1
< 0.1%
14 2
< 0.1%
15 2
< 0.1%
16 1
< 0.1%
ValueCountFrequency (%)
999 24
 
0.2%
888 9342
93.9%
93 1
 
< 0.1%
92 1
 
< 0.1%
88 1
 
< 0.1%

p62
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.52517841
Minimum0
Maximum9
Zeros483
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:50.059794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.86757356
Coefficient of variation (CV)0.2481766489
Kurtosis11.6532349
Mean7.52517841
Median Absolute Deviation (MAD)0
Skewness-3.688978006
Sum74868
Variance3.487831002
MonotonicityNot monotonic
2023-03-22T13:09:50.159518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9342
93.9%
0 483
 
4.9%
1 123
 
1.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 483
 
4.9%
1 123
 
1.2%
8 9342
93.9%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9342
93.9%
1 123
 
1.2%
0 483
 
4.9%

p63
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.619961805
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:50.265219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.530486189
Coefficient of variation (CV)0.2008522127
Kurtosis12.7399074
Mean7.619961805
Median Absolute Deviation (MAD)0
Skewness-3.811437023
Sum75811
Variance2.342387976
MonotonicityNot monotonic
2023-03-22T13:09:50.375757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 9342
93.9%
1 339
 
3.4%
2 183
 
1.8%
3 45
 
0.5%
4 25
 
0.3%
9 15
 
0.2%
ValueCountFrequency (%)
1 339
 
3.4%
2 183
 
1.8%
3 45
 
0.5%
4 25
 
0.3%
8 9342
93.9%
ValueCountFrequency (%)
9 15
 
0.2%
8 9342
93.9%
4 25
 
0.3%
3 45
 
0.5%
2 183
 
1.8%

p64
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.569806011
Minimum0
Maximum9
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:50.498290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.699321328
Coefficient of variation (CV)0.2244867736
Kurtosis11.74767507
Mean7.569806011
Median Absolute Deviation (MAD)0
Skewness-3.700629544
Sum75312
Variance2.887692976
MonotonicityNot monotonic
2023-03-22T13:09:50.598044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9342
93.9%
1 531
 
5.3%
0 71
 
0.7%
9 5
 
0.1%
ValueCountFrequency (%)
0 71
 
0.7%
1 531
 
5.3%
8 9342
93.9%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 9342
93.9%
1 531
 
5.3%
0 71
 
0.7%

p65
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.519851241
Minimum0
Maximum9
Zeros560
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:50.705231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.89324369
Coefficient of variation (CV)0.2517661094
Kurtosis11.6306955
Mean7.519851241
Median Absolute Deviation (MAD)0
Skewness-3.68921082
Sum74815
Variance3.584371671
MonotonicityNot monotonic
2023-03-22T13:09:50.805016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9342
93.9%
0 560
 
5.6%
1 43
 
0.4%
9 4
 
< 0.1%
ValueCountFrequency (%)
0 560
 
5.6%
1 43
 
0.4%
8 9342
93.9%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 9342
93.9%
1 43
 
0.4%
0 560
 
5.6%

p66
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean886.1477535
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:50.922716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.56834012
Coefficient of variation (CV)0.04690903966
Kurtosis405.1690364
Mean886.1477535
Median Absolute Deviation (MAD)0
Skewness-19.90989375
Sum8816284
Variance1727.9269
MonotonicityNot monotonic
2023-03-22T13:09:51.054498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
888 9906
99.6%
999 18
 
0.2%
4 3
 
< 0.1%
5 2
 
< 0.1%
8 2
 
< 0.1%
360 2
 
< 0.1%
10 2
 
< 0.1%
6 2
 
< 0.1%
12 2
 
< 0.1%
180 2
 
< 0.1%
Other values (8) 8
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 1
 
< 0.1%
4 3
< 0.1%
5 2
< 0.1%
6 2
< 0.1%
ValueCountFrequency (%)
999 18
 
0.2%
888 9906
99.6%
360 2
 
< 0.1%
300 1
 
< 0.1%
180 2
 
< 0.1%

p67
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.532314806
Minimum0
Maximum9
Zeros476
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:51.176109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.856179455
Coefficient of variation (CV)0.2464288208
Kurtosis11.86823684
Mean7.532314806
Median Absolute Deviation (MAD)0
Skewness-3.717198529
Sum74939
Variance3.44540217
MonotonicityNot monotonic
2023-03-22T13:09:51.277252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9342
93.9%
0 476
 
4.8%
1 122
 
1.2%
9 9
 
0.1%
ValueCountFrequency (%)
0 476
 
4.8%
1 122
 
1.2%
8 9342
93.9%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 9342
93.9%
1 122
 
1.2%
0 476
 
4.8%

p68
Real number (ℝ)

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean843.8304352
Minimum0
Maximum999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:51.417949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile84
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation192.5852343
Coefficient of variation (CV)0.2282274095
Kurtosis14.13603166
Mean843.8304352
Median Absolute Deviation (MAD)0
Skewness-4.005331836
Sum8395269
Variance37089.07247
MonotonicityNot monotonic
2023-03-22T13:09:51.588376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9342
93.9%
999 86
 
0.9%
24 67
 
0.7%
8 58
 
0.6%
40 40
 
0.4%
12 40
 
0.4%
30 25
 
0.3%
20 24
 
0.2%
10 24
 
0.2%
2 22
 
0.2%
Other values (42) 221
 
2.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 12
0.1%
2 22
0.2%
3 10
0.1%
4 22
0.2%
ValueCountFrequency (%)
999 86
 
0.9%
888 9342
93.9%
168 2
 
< 0.1%
150 3
 
< 0.1%
140 2
 
< 0.1%

p69
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.594029551
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:51.724778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.618564562
Coefficient of variation (CV)0.2131364582
Kurtosis12.20107122
Mean7.594029551
Median Absolute Deviation (MAD)0
Skewness-3.754950141
Sum75553
Variance2.619751242
MonotonicityNot monotonic
2023-03-22T13:09:51.835460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 9342
93.9%
1 531
 
5.3%
3 29
 
0.3%
4 21
 
0.2%
2 17
 
0.2%
9 9
 
0.1%
ValueCountFrequency (%)
1 531
 
5.3%
2 17
 
0.2%
3 29
 
0.3%
4 21
 
0.2%
8 9342
93.9%
ValueCountFrequency (%)
9 9
 
0.1%
8 9342
93.9%
4 21
 
0.2%
3 29
 
0.3%
2 17
 
0.2%

p69_1
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.71102623
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:51.959130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.226323297
Coefficient of variation (CV)0.05958570458
Kurtosis266.2605666
Mean87.71102623
Median Absolute Deviation (MAD)0
Skewness-16.27328621
Sum872637
Variance27.31445521
MonotonicityNot monotonic
2023-03-22T13:09:52.073252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
88 9891
99.4%
1 23
 
0.2%
99 22
 
0.2%
2 11
 
0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
1 23
 
0.2%
2 11
 
0.1%
3 2
 
< 0.1%
88 9891
99.4%
99 22
 
0.2%
ValueCountFrequency (%)
99 22
 
0.2%
88 9891
99.4%
3 2
 
< 0.1%
2 11
 
0.1%
1 23
 
0.2%

p70
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7069052166
Minimum0
Maximum9
Zeros3516
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:52.186727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8660448814
Coefficient of variation (CV)1.225121644
Kurtosis60.59412359
Mean0.7069052166
Median Absolute Deviation (MAD)0
Skewness6.453803012
Sum7033
Variance0.7500337366
MonotonicityNot monotonic
2023-03-22T13:09:52.287730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6358
63.9%
0 3516
35.3%
9 75
 
0.8%
ValueCountFrequency (%)
0 3516
35.3%
1 6358
63.9%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
1 6358
63.9%
0 3516
35.3%

p71
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7298220927
Minimum0
Maximum9
Zeros3304
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:52.396354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8686193506
Coefficient of variation (CV)1.190179579
Kurtosis60.81502139
Mean0.7298220927
Median Absolute Deviation (MAD)0
Skewness6.504706876
Sum7261
Variance0.7544995763
MonotonicityNot monotonic
2023-03-22T13:09:52.496965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6568
66.0%
0 3304
33.2%
9 77
 
0.8%
ValueCountFrequency (%)
0 3304
33.2%
1 6568
66.0%
9 77
 
0.8%
ValueCountFrequency (%)
9 77
 
0.8%
1 6568
66.0%
0 3304
33.2%

p72
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7402754046
Minimum0
Maximum9
Zeros3192
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:52.605282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.861595828
Coefficient of variation (CV)1.163885525
Kurtosis61.74319789
Mean0.7402754046
Median Absolute Deviation (MAD)0
Skewness6.546952175
Sum7365
Variance0.7423473709
MonotonicityNot monotonic
2023-03-22T13:09:52.706078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6681
67.2%
0 3192
32.1%
9 76
 
0.8%
ValueCountFrequency (%)
0 3192
32.1%
1 6681
67.2%
9 76
 
0.8%
ValueCountFrequency (%)
9 76
 
0.8%
1 6681
67.2%
0 3192
32.1%

p73
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4611518746
Minimum0
Maximum9
Zeros5993
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:52.814590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9056980859
Coefficient of variation (CV)1.963990902
Kurtosis59.86779023
Mean0.4611518746
Median Absolute Deviation (MAD)0
Skewness6.658749273
Sum4588
Variance0.8202890229
MonotonicityNot monotonic
2023-03-22T13:09:52.916154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5993
60.2%
1 3877
39.0%
9 79
 
0.8%
ValueCountFrequency (%)
0 5993
60.2%
1 3877
39.0%
9 79
 
0.8%
ValueCountFrequency (%)
9 79
 
0.8%
1 3877
39.0%
0 5993
60.2%

p74
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4177304252
Minimum0
Maximum9
Zeros6385
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:53.024339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8825198069
Coefficient of variation (CV)2.112653888
Kurtosis63.66633375
Mean0.4177304252
Median Absolute Deviation (MAD)0
Skewness6.875223101
Sum4156
Variance0.7788412096
MonotonicityNot monotonic
2023-03-22T13:09:53.124739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6385
64.2%
1 3490
35.1%
9 74
 
0.7%
ValueCountFrequency (%)
0 6385
64.2%
1 3490
35.1%
9 74
 
0.7%
ValueCountFrequency (%)
9 74
 
0.7%
1 3490
35.1%
0 6385
64.2%

p75
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1293597346
Minimum0
Maximum9
Zeros9262
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:53.233626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8096047141
Coefficient of variation (CV)6.258552681
Kurtosis105.8034656
Mean0.1293597346
Median Absolute Deviation (MAD)0
Skewness9.991513952
Sum1287
Variance0.6554597931
MonotonicityNot monotonic
2023-03-22T13:09:53.334127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9262
93.1%
1 612
 
6.2%
9 75
 
0.8%
ValueCountFrequency (%)
0 9262
93.1%
1 612
 
6.2%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
1 612
 
6.2%
0 9262
93.1%

p76
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2359031058
Minimum0
Maximum9
Zeros8178
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:53.442518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8374847586
Coefficient of variation (CV)3.550121799
Kurtosis83.97466192
Mean0.2359031058
Median Absolute Deviation (MAD)0
Skewness8.407474783
Sum2347
Variance0.7013807208
MonotonicityNot monotonic
2023-03-22T13:09:53.543023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8178
82.2%
1 1699
 
17.1%
9 72
 
0.7%
ValueCountFrequency (%)
0 8178
82.2%
1 1699
 
17.1%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
1 1699
 
17.1%
0 8178
82.2%

p76_1
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.889235099
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:53.651592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.475938432
Coefficient of variation (CV)0.3593923558
Kurtosis1.382007815
Mean6.889235099
Median Absolute Deviation (MAD)0
Skewness-1.818335885
Sum68541
Variance6.130271118
MonotonicityNot monotonic
2023-03-22T13:09:53.763757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 8250
82.9%
1 1158
 
11.6%
2 358
 
3.6%
3 103
 
1.0%
4 50
 
0.5%
5 28
 
0.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 1158
11.6%
2 358
 
3.6%
3 103
 
1.0%
4 50
 
0.5%
5 28
 
0.3%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 8250
82.9%
5 28
 
0.3%
4 50
 
0.5%
3 103
 
1.0%

p77
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2719871344
Minimum0
Maximum9
Zeros7763
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:53.887629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8176040353
Coefficient of variation (CV)3.006039374
Kurtosis82.04691579
Mean0.2719871344
Median Absolute Deviation (MAD)0
Skewness8.072087039
Sum2706
Variance0.6684763585
MonotonicityNot monotonic
2023-03-22T13:09:53.988132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7763
78.0%
1 2121
 
21.3%
9 65
 
0.7%
ValueCountFrequency (%)
0 7763
78.0%
1 2121
 
21.3%
9 65
 
0.7%
ValueCountFrequency (%)
9 65
 
0.7%
1 2121
 
21.3%
0 7763
78.0%

p77_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5717157503
Minimum0
Maximum9
Zeros4789
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:54.096456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8500384823
Coefficient of variation (CV)1.486820123
Kurtosis61.29187718
Mean0.5717157503
Median Absolute Deviation (MAD)0
Skewness6.387418501
Sum5688
Variance0.7225654214
MonotonicityNot monotonic
2023-03-22T13:09:54.196978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5094
51.2%
0 4789
48.1%
9 66
 
0.7%
ValueCountFrequency (%)
0 4789
48.1%
1 5094
51.2%
9 66
 
0.7%
ValueCountFrequency (%)
9 66
 
0.7%
1 5094
51.2%
0 4789
48.1%

p77_2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.647100211
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:54.304303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.144731856
Coefficient of variation (CV)0.4324474951
Kurtosis7.013718391
Mean2.647100211
Median Absolute Deviation (MAD)1
Skewness1.45615809
Sum26336
Variance1.310411021
MonotonicityNot monotonic
2023-03-22T13:09:54.415814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 3335
33.5%
2 3112
31.3%
4 1951
19.6%
1 1457
14.6%
9 94
 
0.9%
ValueCountFrequency (%)
1 1457
14.6%
2 3112
31.3%
3 3335
33.5%
4 1951
19.6%
9 94
 
0.9%
ValueCountFrequency (%)
9 94
 
0.9%
4 1951
19.6%
3 3335
33.5%
2 3112
31.3%
1 1457
14.6%

p78
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2295708111
Minimum0
Maximum9
Zeros8369
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:54.539265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9021074078
Coefficient of variation (CV)3.929538792
Kurtosis76.16110634
Mean0.2295708111
Median Absolute Deviation (MAD)0
Skewness8.210163649
Sum2284
Variance0.8137977752
MonotonicityNot monotonic
2023-03-22T13:09:54.639725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8369
84.1%
1 1492
 
15.0%
9 88
 
0.9%
ValueCountFrequency (%)
0 8369
84.1%
1 1492
 
15.0%
9 88
 
0.9%
ValueCountFrequency (%)
9 88
 
0.9%
1 1492
 
15.0%
0 8369
84.1%

p78_1
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.825309076
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:54.746323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8244838021
Coefficient of variation (CV)0.2155339047
Kurtosis17.21451361
Mean3.825309076
Median Absolute Deviation (MAD)0
Skewness0.8393830275
Sum38058
Variance0.6797735399
MonotonicityNot monotonic
2023-03-22T13:09:54.855621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 8521
85.6%
3 728
 
7.3%
2 306
 
3.1%
1 296
 
3.0%
9 98
 
1.0%
ValueCountFrequency (%)
1 296
 
3.0%
2 306
 
3.1%
3 728
 
7.3%
4 8521
85.6%
9 98
 
1.0%
ValueCountFrequency (%)
9 98
 
1.0%
4 8521
85.6%
3 728
 
7.3%
2 306
 
3.1%
1 296
 
3.0%

p78_2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.352296713
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:54.975648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.219736174
Coefficient of variation (CV)0.3638508994
Kurtosis3.170625718
Mean3.352296713
Median Absolute Deviation (MAD)0
Skewness-0.1068331976
Sum33352
Variance1.487756335
MonotonicityNot monotonic
2023-03-22T13:09:55.091250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 6560
65.9%
1 1341
 
13.5%
3 1052
 
10.6%
2 907
 
9.1%
9 89
 
0.9%
ValueCountFrequency (%)
1 1341
 
13.5%
2 907
 
9.1%
3 1052
 
10.6%
4 6560
65.9%
9 89
 
0.9%
ValueCountFrequency (%)
9 89
 
0.9%
4 6560
65.9%
3 1052
 
10.6%
2 907
 
9.1%
1 1341
 
13.5%

p78_3
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.900593024
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:55.217793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7178777487
Coefficient of variation (CV)0.1840432325
Kurtosis26.13640786
Mean3.900593024
Median Absolute Deviation (MAD)0
Skewness1.453871752
Sum38807
Variance0.5153484621
MonotonicityNot monotonic
2023-03-22T13:09:55.327651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9012
90.6%
3 459
 
4.6%
1 197
 
2.0%
2 192
 
1.9%
9 89
 
0.9%
ValueCountFrequency (%)
1 197
 
2.0%
2 192
 
1.9%
3 459
 
4.6%
4 9012
90.6%
9 89
 
0.9%
ValueCountFrequency (%)
9 89
 
0.9%
4 9012
90.6%
3 459
 
4.6%
2 192
 
1.9%
1 197
 
2.0%

p78_4
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.951753945
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:55.447444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6532251107
Coefficient of variation (CV)0.1653000464
Kurtosis36.80614173
Mean3.951753945
Median Absolute Deviation (MAD)0
Skewness2.717441301
Sum39316
Variance0.4267030452
MonotonicityNot monotonic
2023-03-22T13:09:55.559026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9282
93.3%
3 331
 
3.3%
1 128
 
1.3%
2 115
 
1.2%
9 93
 
0.9%
ValueCountFrequency (%)
1 128
 
1.3%
2 115
 
1.2%
3 331
 
3.3%
4 9282
93.3%
9 93
 
0.9%
ValueCountFrequency (%)
9 93
 
0.9%
4 9282
93.3%
3 331
 
3.3%
2 115
 
1.2%
1 128
 
1.3%

p79
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3159111468
Minimum0
Maximum9
Zeros7462
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:55.682661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8997883896
Coefficient of variation (CV)2.848232481
Kurtosis68.65217463
Mean0.3159111468
Median Absolute Deviation (MAD)0
Skewness7.485479313
Sum3143
Variance0.8096191461
MonotonicityNot monotonic
2023-03-22T13:09:55.783087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7462
75.0%
1 2405
 
24.2%
9 82
 
0.8%
ValueCountFrequency (%)
0 7462
75.0%
1 2405
 
24.2%
9 82
 
0.8%
ValueCountFrequency (%)
9 82
 
0.8%
1 2405
 
24.2%
0 7462
75.0%

p80
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3457633933
Minimum0
Maximum9
Zeros7117
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:55.891489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8810755485
Coefficient of variation (CV)2.548203672
Kurtosis68.25482158
Mean0.3457633933
Median Absolute Deviation (MAD)0
Skewness7.311425612
Sum3440
Variance0.7762941221
MonotonicityNot monotonic
2023-03-22T13:09:55.992090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7117
71.5%
1 2756
 
27.7%
9 76
 
0.8%
ValueCountFrequency (%)
0 7117
71.5%
1 2756
 
27.7%
9 76
 
0.8%
ValueCountFrequency (%)
9 76
 
0.8%
1 2756
 
27.7%
0 7117
71.5%

p81
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2800281435
Minimum0
Maximum9
Zeros7771
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:56.100180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8670022852
Coefficient of variation (CV)3.096125533
Kurtosis75.32837683
Mean0.2800281435
Median Absolute Deviation (MAD)0
Skewness7.868789908
Sum2786
Variance0.7516929626
MonotonicityNot monotonic
2023-03-22T13:09:56.200860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7771
78.1%
1 2102
 
21.1%
9 76
 
0.8%
ValueCountFrequency (%)
0 7771
78.1%
1 2102
 
21.1%
9 76
 
0.8%
ValueCountFrequency (%)
9 76
 
0.8%
1 2102
 
21.1%
0 7771
78.1%

p82
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1309679365
Minimum0
Maximum9
Zeros9214
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:56.309183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7922745182
Coefficient of variation (CV)6.04937773
Kurtosis109.243208
Mean0.1309679365
Median Absolute Deviation (MAD)0
Skewness10.09801028
Sum1303
Variance0.6276989122
MonotonicityNot monotonic
2023-03-22T13:09:56.410453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9214
92.6%
1 664
 
6.7%
9 71
 
0.7%
ValueCountFrequency (%)
0 9214
92.6%
1 664
 
6.7%
9 71
 
0.7%
ValueCountFrequency (%)
9 71
 
0.7%
1 664
 
6.7%
0 9214
92.6%

p83
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.709820082
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:56.519472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.140301078
Coefficient of variation (CV)0.1479024239
Kurtosis14.75701507
Mean7.709820082
Median Absolute Deviation (MAD)0
Skewness-3.95340051
Sum76705
Variance1.300286548
MonotonicityNot monotonic
2023-03-22T13:09:56.632498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 9285
93.3%
3 217
 
2.2%
4 156
 
1.6%
5 132
 
1.3%
2 73
 
0.7%
6 42
 
0.4%
1 38
 
0.4%
9 6
 
0.1%
ValueCountFrequency (%)
1 38
 
0.4%
2 73
 
0.7%
3 217
2.2%
4 156
1.6%
5 132
1.3%
ValueCountFrequency (%)
9 6
 
0.1%
8 9285
93.3%
6 42
 
0.4%
5 132
 
1.3%
4 156
 
1.6%

p84
Real number (ℝ)

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834.7042919
Minimum0
Maximum999
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:56.778586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation210.4926431
Coefficient of variation (CV)0.2521763038
Kurtosis11.56908022
Mean834.7042919
Median Absolute Deviation (MAD)0
Skewness-3.68189562
Sum8304473
Variance44307.1528
MonotonicityNot monotonic
2023-03-22T13:09:56.929070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
888 9333
93.8%
2 137
 
1.4%
4 80
 
0.8%
3 66
 
0.7%
5 60
 
0.6%
1 59
 
0.6%
6 34
 
0.3%
8 33
 
0.3%
0 32
 
0.3%
10 29
 
0.3%
Other values (25) 86
 
0.9%
ValueCountFrequency (%)
0 32
 
0.3%
1 59
0.6%
2 137
1.4%
3 66
0.7%
4 80
0.8%
ValueCountFrequency (%)
999 13
 
0.1%
888 9333
93.8%
120 2
 
< 0.1%
84 1
 
< 0.1%
72 1
 
< 0.1%

p85
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1913760177
Minimum0
Maximum9
Zeros8581
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:57.057258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7998052174
Coefficient of variation (CV)4.179234301
Kurtosis96.28947301
Mean0.1913760177
Median Absolute Deviation (MAD)0
Skewness9.122436256
Sum1904
Variance0.6396883858
MonotonicityNot monotonic
2023-03-22T13:09:57.157731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8581
86.2%
1 1301
 
13.1%
9 67
 
0.7%
ValueCountFrequency (%)
0 8581
86.2%
1 1301
 
13.1%
9 67
 
0.7%
ValueCountFrequency (%)
9 67
 
0.7%
1 1301
 
13.1%
0 8581
86.2%

p86
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.168861192
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:57.267095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.18298224
Coefficient of variation (CV)0.3045089285
Kurtosis3.418884188
Mean7.168861192
Median Absolute Deviation (MAD)0
Skewness-2.301532769
Sum71323
Variance4.765411459
MonotonicityNot monotonic
2023-03-22T13:09:57.380188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 8648
86.9%
1 858
 
8.6%
2 226
 
2.3%
3 117
 
1.2%
4 53
 
0.5%
5 31
 
0.3%
6 11
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
1 858
8.6%
2 226
 
2.3%
3 117
 
1.2%
4 53
 
0.5%
5 31
 
0.3%
ValueCountFrequency (%)
9 5
 
0.1%
8 8648
86.9%
6 11
 
0.1%
5 31
 
0.3%
4 53
 
0.5%

p87
Real number (ℝ)

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean784.5770429
Minimum0
Maximum999
Zeros70
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:57.537663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation282.6492671
Coefficient of variation (CV)0.3602568666
Kurtosis3.444819499
Mean784.5770429
Median Absolute Deviation (MAD)0
Skewness-2.328485365
Sum7805757
Variance79890.60818
MonotonicityNot monotonic
2023-03-22T13:09:57.707964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 8664
87.1%
8 112
 
1.1%
24 93
 
0.9%
20 92
 
0.9%
999 86
 
0.9%
40 84
 
0.8%
0 70
 
0.7%
10 69
 
0.7%
5 67
 
0.7%
30 59
 
0.6%
Other values (52) 553
 
5.6%
ValueCountFrequency (%)
0 70
0.7%
1 15
 
0.2%
2 49
0.5%
3 32
0.3%
4 41
0.4%
ValueCountFrequency (%)
999 86
 
0.9%
888 8664
87.1%
168 1
 
< 0.1%
160 2
 
< 0.1%
150 3
 
< 0.1%

p88
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1219218012
Minimum0
Maximum2
Zeros9082
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:57.845140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4202729568
Coefficient of variation (CV)3.447069783
Kurtosis11.88225439
Mean0.1219218012
Median Absolute Deviation (MAD)0
Skewness3.559825427
Sum1213
Variance0.1766293582
MonotonicityNot monotonic
2023-03-22T13:09:57.956833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9082
91.3%
1 521
 
5.2%
2 346
 
3.5%
ValueCountFrequency (%)
0 9082
91.3%
1 521
 
5.2%
2 346
 
3.5%
ValueCountFrequency (%)
2 346
 
3.5%
1 521
 
5.2%
0 9082
91.3%

q1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8773746105
Minimum0
Maximum1
Zeros1220
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:58.079059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.328023198
Coefficient of variation (CV)0.3738690339
Kurtosis3.296941741
Mean0.8773746105
Median Absolute Deviation (MAD)0
Skewness-2.301364598
Sum8729
Variance0.1075992184
MonotonicityNot monotonic
2023-03-22T13:09:58.190125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 8729
87.7%
0 1220
 
12.3%
ValueCountFrequency (%)
0 1220
 
12.3%
1 8729
87.7%
ValueCountFrequency (%)
1 8729
87.7%
0 1220
 
12.3%

q2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.705699065
Minimum0
Maximum9
Zeros2047
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:58.300958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.478218074
Coefficient of variation (CV)1.452904633
Kurtosis2.654362126
Mean1.705699065
Median Absolute Deviation (MAD)0
Skewness2.096464297
Sum16970
Variance6.141564823
MonotonicityNot monotonic
2023-03-22T13:09:58.400818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6616
66.5%
0 2047
 
20.6%
8 1220
 
12.3%
9 66
 
0.7%
ValueCountFrequency (%)
0 2047
 
20.6%
1 6616
66.5%
8 1220
 
12.3%
9 66
 
0.7%
ValueCountFrequency (%)
9 66
 
0.7%
8 1220
 
12.3%
1 6616
66.5%
0 2047
 
20.6%

q3
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.99577847
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:58.510883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.790377226
Coefficient of variation (CV)0.4480671888
Kurtosis1.113039075
Mean3.99577847
Median Absolute Deviation (MAD)1
Skewness1.282343402
Sum39754
Variance3.205450613
MonotonicityNot monotonic
2023-03-22T13:09:58.616591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 3942
39.6%
4 2728
27.4%
8 1220
 
12.3%
5 996
 
10.0%
2 711
 
7.1%
1 295
 
3.0%
10 46
 
0.5%
9 11
 
0.1%
ValueCountFrequency (%)
1 295
 
3.0%
2 711
 
7.1%
3 3942
39.6%
4 2728
27.4%
5 996
 
10.0%
ValueCountFrequency (%)
10 46
 
0.5%
9 11
 
0.1%
8 1220
12.3%
5 996
 
10.0%
4 2728
27.4%

q4
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.071162931
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:58.728813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.03373283
Coefficient of variation (CV)0.6622028449
Kurtosis2.283759036
Mean3.071162931
Median Absolute Deviation (MAD)0
Skewness1.935019137
Sum30555
Variance4.136069224
MonotonicityNot monotonic
2023-03-22T13:09:58.834111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5323
53.5%
3 2969
29.8%
8 1220
 
12.3%
1 342
 
3.4%
9 50
 
0.5%
10 45
 
0.5%
ValueCountFrequency (%)
1 342
 
3.4%
2 5323
53.5%
3 2969
29.8%
8 1220
 
12.3%
9 50
 
0.5%
ValueCountFrequency (%)
10 45
 
0.5%
9 50
 
0.5%
8 1220
 
12.3%
3 2969
29.8%
2 5323
53.5%

q7
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.641169967
Minimum0
Maximum10
Zeros1345
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:58.946550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.314820578
Coefficient of variation (CV)1.255057652
Kurtosis-0.3214039566
Mean2.641169967
Median Absolute Deviation (MAD)0
Skewness1.247847424
Sum26277
Variance10.98803546
MonotonicityNot monotonic
2023-03-22T13:09:59.065472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6269
63.0%
0 1345
 
13.5%
8 1220
 
12.3%
9 902
 
9.1%
10 213
 
2.1%
ValueCountFrequency (%)
0 1345
 
13.5%
1 6269
63.0%
8 1220
 
12.3%
9 902
 
9.1%
10 213
 
2.1%
ValueCountFrequency (%)
10 213
 
2.1%
9 902
 
9.1%
8 1220
 
12.3%
1 6269
63.0%
0 1345
 
13.5%

q8
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.190370892
Minimum0
Maximum10
Zeros389
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:59.184877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.786236159
Coefficient of variation (CV)1.272038526
Kurtosis1.407088454
Mean2.190370892
Median Absolute Deviation (MAD)0
Skewness1.809736729
Sum21792
Variance7.763111935
MonotonicityNot monotonic
2023-03-22T13:09:59.298002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 7901
79.4%
8 1220
 
12.3%
0 389
 
3.9%
9 259
 
2.6%
10 180
 
1.8%
ValueCountFrequency (%)
0 389
 
3.9%
1 7901
79.4%
8 1220
 
12.3%
9 259
 
2.6%
10 180
 
1.8%
ValueCountFrequency (%)
10 180
 
1.8%
9 259
 
2.6%
8 1220
 
12.3%
1 7901
79.4%
0 389
 
3.9%

q9
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.450799075
Minimum0
Maximum10
Zeros1189
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:59.410319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.149268112
Coefficient of variation (CV)1.28499645
Kurtosis0.1856269604
Mean2.450799075
Median Absolute Deviation (MAD)0
Skewness1.430167764
Sum24383
Variance9.917889641
MonotonicityNot monotonic
2023-03-22T13:09:59.522942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6682
67.2%
8 1220
 
12.3%
0 1189
 
12.0%
9 639
 
6.4%
10 219
 
2.2%
ValueCountFrequency (%)
0 1189
 
12.0%
1 6682
67.2%
8 1220
 
12.3%
9 639
 
6.4%
10 219
 
2.2%
ValueCountFrequency (%)
10 219
 
2.2%
9 639
 
6.4%
8 1220
 
12.3%
1 6682
67.2%
0 1189
 
12.0%

q10
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.010453312
Minimum0
Maximum10
Zeros832
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:59.635334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.65839047
Coefficient of variation (CV)1.322284111
Kurtosis1.952243585
Mean2.010453312
Median Absolute Deviation (MAD)0
Skewness1.941843934
Sum20002
Variance7.067039893
MonotonicityNot monotonic
2023-03-22T13:09:59.747928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 7619
76.6%
8 1220
 
12.3%
0 832
 
8.4%
9 157
 
1.6%
10 121
 
1.2%
ValueCountFrequency (%)
0 832
 
8.4%
1 7619
76.6%
8 1220
 
12.3%
9 157
 
1.6%
10 121
 
1.2%
ValueCountFrequency (%)
10 121
 
1.2%
9 157
 
1.6%
8 1220
 
12.3%
1 7619
76.6%
0 832
 
8.4%

q11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.226756458
Minimum0
Maximum8
Zeros7377
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:09:59.859040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.609454321
Coefficient of variation (CV)2.127116841
Kurtosis2.606429304
Mean1.226756458
Median Absolute Deviation (MAD)0
Skewness2.070900993
Sum12205
Variance6.809251853
MonotonicityNot monotonic
2023-03-22T13:09:59.970243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7377
74.1%
8 1220
 
12.3%
2 1093
 
11.0%
1 259
 
2.6%
ValueCountFrequency (%)
0 7377
74.1%
1 259
 
2.6%
2 1093
 
11.0%
8 1220
 
12.3%
ValueCountFrequency (%)
8 1220
 
12.3%
2 1093
 
11.0%
1 259
 
2.6%
0 7377
74.1%

q12
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.009749724
Minimum0
Maximum8
Zeros8586
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:00.090601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.624236237
Coefficient of variation (CV)2.598897703
Kurtosis3.196278402
Mean1.009749724
Median Absolute Deviation (MAD)0
Skewness2.26995345
Sum10046
Variance6.88661583
MonotonicityNot monotonic
2023-03-22T13:10:00.200196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8586
86.3%
8 1220
 
12.3%
2 143
 
1.4%
ValueCountFrequency (%)
0 8586
86.3%
2 143
 
1.4%
8 1220
 
12.3%
ValueCountFrequency (%)
8 1220
 
12.3%
2 143
 
1.4%
0 8586
86.3%

q13
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.42717861
Minimum0
Maximum88
Zeros401
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:00.326619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile88
Maximum88
Range88
Interquartile range (IQR)3

Descriptive statistics

Standard deviation28.96363389
Coefficient of variation (CV)1.877442053
Kurtosis2.427734287
Mean15.42717861
Median Absolute Deviation (MAD)1
Skewness2.097598786
Sum153485
Variance838.8920879
MonotonicityNot monotonic
2023-03-22T13:10:00.436830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 1997
20.1%
3 1793
18.0%
5 1667
16.8%
88 1363
13.7%
6 947
9.5%
2 831
8.4%
0 401
 
4.0%
1 394
 
4.0%
7 391
 
3.9%
8 134
 
1.3%
Other values (2) 31
 
0.3%
ValueCountFrequency (%)
0 401
 
4.0%
1 394
 
4.0%
2 831
8.4%
3 1793
18.0%
4 1997
20.1%
ValueCountFrequency (%)
88 1363
13.7%
10 13
 
0.1%
9 18
 
0.2%
8 134
 
1.3%
7 391
 
3.9%

q14
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.84571314
Minimum0
Maximum99
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:00.562901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median12
Q317
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation30.26292798
Coefficient of variation (CV)1.269113983
Kurtosis1.175100044
Mean23.84571314
Median Absolute Deviation (MAD)5
Skewness1.730308527
Sum237241
Variance915.84481
MonotonicityNot monotonic
2023-03-22T13:10:00.702618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
88 1220
 
12.3%
12 667
 
6.7%
10 660
 
6.6%
8 633
 
6.4%
9 626
 
6.3%
5 535
 
5.4%
11 534
 
5.4%
6 532
 
5.3%
15 506
 
5.1%
13 504
 
5.1%
Other values (13) 3532
35.5%
ValueCountFrequency (%)
0 32
 
0.3%
1 99
 
1.0%
2 204
2.1%
3 270
2.7%
4 287
2.9%
ValueCountFrequency (%)
99 429
 
4.3%
88 1220
12.3%
20 426
 
4.3%
19 176
 
1.8%
18 226
 
2.3%

q15
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.315107046
Minimum0
Maximum8
Zeros4920
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:00.826371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.381356015
Coefficient of variation (CV)1.460561411
Kurtosis-0.8195891362
Mean2.315107046
Median Absolute Deviation (MAD)1
Skewness1.055601096
Sum23033
Variance11.4335685
MonotonicityNot monotonic
2023-03-22T13:10:00.942665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 4920
49.5%
8 2572
25.9%
1 2457
24.7%
ValueCountFrequency (%)
0 4920
49.5%
1 2457
24.7%
8 2572
25.9%
ValueCountFrequency (%)
8 2572
25.9%
1 2457
24.7%
0 4920
49.5%

q16
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.974871846
Minimum0
Maximum8
Zeros4957
Zeros (%)49.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:01.071099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.684744425
Coefficient of variation (CV)1.359452478
Kurtosis0.3112698172
Mean1.974871846
Median Absolute Deviation (MAD)1
Skewness1.251367404
Sum19648
Variance7.20785263
MonotonicityNot monotonic
2023-03-22T13:10:01.188676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4957
49.8%
4 1539
 
15.5%
1 1270
 
12.8%
8 1220
 
12.3%
3 536
 
5.4%
2 427
 
4.3%
ValueCountFrequency (%)
0 4957
49.8%
1 1270
 
12.8%
2 427
 
4.3%
3 536
 
5.4%
4 1539
 
15.5%
ValueCountFrequency (%)
8 1220
12.3%
4 1539
15.5%
3 536
 
5.4%
2 427
 
4.3%
1 1270
12.8%

q17
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.49864308
Minimum0
Maximum88
Zeros1017
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:01.321805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile88
Maximum88
Range88
Interquartile range (IQR)3

Descriptive statistics

Standard deviation29.33772613
Coefficient of variation (CV)2.023480816
Kurtosis2.425168334
Mean14.49864308
Median Absolute Deviation (MAD)2
Skewness2.096683527
Sum144247
Variance860.7021745
MonotonicityNot monotonic
2023-03-22T13:10:01.432992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 1884
18.9%
2 1711
17.2%
88 1363
13.7%
4 1351
13.6%
1 1118
11.2%
0 1017
10.2%
5 806
8.1%
6 378
 
3.8%
7 211
 
2.1%
8 70
 
0.7%
Other values (2) 40
 
0.4%
ValueCountFrequency (%)
0 1017
10.2%
1 1118
11.2%
2 1711
17.2%
3 1884
18.9%
4 1351
13.6%
ValueCountFrequency (%)
88 1363
13.7%
10 12
 
0.1%
9 28
 
0.3%
8 70
 
0.7%
7 211
 
2.1%

q18
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.044929139
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:01.546059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.533509176
Coefficient of variation (CV)1.238922723
Kurtosis2.431937428
Mean2.044929139
Median Absolute Deviation (MAD)0
Skewness2.078896456
Sum20345
Variance6.418668745
MonotonicityNot monotonic
2023-03-22T13:10:01.647976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 8373
84.2%
8 1220
 
12.3%
2 161
 
1.6%
10 135
 
1.4%
9 60
 
0.6%
ValueCountFrequency (%)
1 8373
84.2%
2 161
 
1.6%
8 1220
 
12.3%
9 60
 
0.6%
10 135
 
1.4%
ValueCountFrequency (%)
10 135
 
1.4%
9 60
 
0.6%
8 1220
 
12.3%
2 161
 
1.6%
1 8373
84.2%

q19
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.522263544
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:01.757777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.512100163
Coefficient of variation (CV)0.9959705316
Kurtosis1.655298784
Mean2.522263544
Median Absolute Deviation (MAD)1
Skewness1.823070189
Sum25094
Variance6.310647228
MonotonicityNot monotonic
2023-03-22T13:10:01.859557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4428
44.5%
2 3990
40.1%
8 1220
 
12.3%
9 184
 
1.8%
10 127
 
1.3%
ValueCountFrequency (%)
1 4428
44.5%
2 3990
40.1%
8 1220
 
12.3%
9 184
 
1.8%
10 127
 
1.3%
ValueCountFrequency (%)
10 127
 
1.3%
9 184
 
1.8%
8 1220
 
12.3%
2 3990
40.1%
1 4428
44.5%

q20
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.846919288
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:01.969399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.233163032
Coefficient of variation (CV)1.135670774
Kurtosis-0.3848526209
Mean2.846919288
Median Absolute Deviation (MAD)0
Skewness1.243691756
Sum28324
Variance10.45334319
MonotonicityNot monotonic
2023-03-22T13:10:02.078757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 7241
72.8%
8 1220
 
12.3%
9 973
 
9.8%
2 323
 
3.2%
10 192
 
1.9%
ValueCountFrequency (%)
1 7241
72.8%
2 323
 
3.2%
8 1220
 
12.3%
9 973
 
9.8%
10 192
 
1.9%
ValueCountFrequency (%)
10 192
 
1.9%
9 973
 
9.8%
8 1220
 
12.3%
2 323
 
3.2%
1 7241
72.8%

q21
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.417026837
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:02.195195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median9
Q39
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.58957908
Coefficient of variation (CV)0.5593835231
Kurtosis-1.37724985
Mean6.417026837
Median Absolute Deviation (MAD)0
Skewness-0.7476178454
Sum63843
Variance12.88507797
MonotonicityNot monotonic
2023-03-22T13:10:02.299101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
9 5234
52.6%
1 2445
24.6%
8 1220
 
12.3%
2 746
 
7.5%
10 304
 
3.1%
ValueCountFrequency (%)
1 2445
24.6%
2 746
 
7.5%
8 1220
 
12.3%
9 5234
52.6%
10 304
 
3.1%
ValueCountFrequency (%)
10 304
 
3.1%
9 5234
52.6%
8 1220
 
12.3%
2 746
 
7.5%
1 2445
24.6%

qp1
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.468690321
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:02.409523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.500351689
Coefficient of variation (CV)0.2008855133
Kurtosis5.367184148
Mean7.468690321
Median Absolute Deviation (MAD)0
Skewness-2.609842283
Sum74306
Variance2.25105519
MonotonicityNot monotonic
2023-03-22T13:10:02.521861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 8729
87.7%
3 480
 
4.8%
4 294
 
3.0%
5 258
 
2.6%
2 108
 
1.1%
1 46
 
0.5%
9 34
 
0.3%
ValueCountFrequency (%)
1 46
 
0.5%
2 108
 
1.1%
3 480
4.8%
4 294
3.0%
5 258
2.6%
ValueCountFrequency (%)
9 34
 
0.3%
8 8729
87.7%
5 258
 
2.6%
4 294
 
3.0%
3 480
 
4.8%

qp2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.320333702
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:02.644036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.86937997
Coefficient of variation (CV)0.2553681357
Kurtosis3.821348449
Mean7.320333702
Median Absolute Deviation (MAD)0
Skewness-2.39138405
Sum72830
Variance3.494581473
MonotonicityNot monotonic
2023-03-22T13:10:02.753131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 8729
87.7%
2 764
 
7.7%
3 367
 
3.7%
1 54
 
0.5%
9 35
 
0.4%
ValueCountFrequency (%)
1 54
 
0.5%
2 764
 
7.7%
3 367
 
3.7%
8 8729
87.7%
9 35
 
0.4%
ValueCountFrequency (%)
9 35
 
0.4%
8 8729
87.7%
3 367
 
3.7%
2 764
 
7.7%
1 54
 
0.5%

qp3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.093778269
Minimum0
Maximum8
Zeros476
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:02.874470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.430156357
Coefficient of variation (CV)0.3425757424
Kurtosis3.451042471
Mean7.093778269
Median Absolute Deviation (MAD)0
Skewness-2.324333356
Sum70576
Variance5.905659919
MonotonicityNot monotonic
2023-03-22T13:10:02.984425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 8729
87.7%
1 744
 
7.5%
0 476
 
4.8%
ValueCountFrequency (%)
0 476
 
4.8%
1 744
 
7.5%
8 8729
87.7%
ValueCountFrequency (%)
8 8729
87.7%
1 744
 
7.5%
0 476
 
4.8%

qp4
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.574831641
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:03.103221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.511966004
Coefficient of variation (CV)0.1996039088
Kurtosis9.055751985
Mean7.574831641
Median Absolute Deviation (MAD)0
Skewness-3.303391401
Sum75362
Variance2.286041199
MonotonicityNot monotonic
2023-03-22T13:10:03.212602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 468
 
4.7%
3 231
 
2.3%
1 39
 
0.4%
9 6
 
0.1%
ValueCountFrequency (%)
1 39
 
0.4%
2 468
 
4.7%
3 231
 
2.3%
8 9205
92.5%
9 6
 
0.1%
ValueCountFrequency (%)
9 6
 
0.1%
8 9205
92.5%
3 231
 
2.3%
2 468
 
4.7%
1 39
 
0.4%

qp5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.974469796
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:03.331447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4081886159
Coefficient of variation (CV)0.05118692858
Kurtosis256.1638546
Mean7.974469796
Median Absolute Deviation (MAD)0
Skewness-16.02039829
Sum79338
Variance0.1666179461
MonotonicityNot monotonic
2023-03-22T13:10:03.437836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9910
99.6%
1 20
 
0.2%
2 19
 
0.2%
ValueCountFrequency (%)
1 20
 
0.2%
2 19
 
0.2%
8 9910
99.6%
ValueCountFrequency (%)
8 9910
99.6%
2 19
 
0.2%
1 20
 
0.2%

qp6
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.851542869
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:03.554958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9687377542
Coefficient of variation (CV)0.1233818334
Kurtosis39.33970915
Mean7.851542869
Median Absolute Deviation (MAD)0
Skewness-6.40723614
Sum78115
Variance0.9384528364
MonotonicityNot monotonic
2023-03-22T13:10:03.665048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9718
97.7%
2 132
 
1.3%
1 98
 
1.0%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 98
 
1.0%
2 132
 
1.3%
8 9718
97.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9718
97.7%
2 132
 
1.3%
1 98
 
1.0%

qp7
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.574530104
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:03.787627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.515765757
Coefficient of variation (CV)0.2001135036
Kurtosis9.067015129
Mean7.574530104
Median Absolute Deviation (MAD)0
Skewness-3.305885108
Sum75359
Variance2.297545831
MonotonicityNot monotonic
2023-03-22T13:10:03.896979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 483
 
4.9%
3 214
 
2.2%
1 39
 
0.4%
9 8
 
0.1%
ValueCountFrequency (%)
1 39
 
0.4%
2 483
 
4.9%
3 214
 
2.2%
8 9205
92.5%
9 8
 
0.1%
ValueCountFrequency (%)
9 8
 
0.1%
8 9205
92.5%
3 214
 
2.2%
2 483
 
4.9%
1 39
 
0.4%

qp8
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.973665695
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:04.015880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.420750045
Coefficient of variation (CV)0.0527674549
Kurtosis254.4906768
Mean7.973665695
Median Absolute Deviation (MAD)0
Skewness-15.98291156
Sum79330
Variance0.1770306003
MonotonicityNot monotonic
2023-03-22T13:10:04.122021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9910
99.6%
1 28
 
0.3%
2 11
 
0.1%
ValueCountFrequency (%)
1 28
 
0.3%
2 11
 
0.1%
8 9910
99.6%
ValueCountFrequency (%)
8 9910
99.6%
2 11
 
0.1%
1 28
 
0.3%

qp9
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.862398231
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:04.238622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9308965968
Coefficient of variation (CV)0.1183985559
Kurtosis42.65700625
Mean7.862398231
Median Absolute Deviation (MAD)0
Skewness-6.659911698
Sum78223
Variance0.8665684739
MonotonicityNot monotonic
2023-03-22T13:10:04.344792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9735
97.8%
2 129
 
1.3%
1 85
 
0.9%
ValueCountFrequency (%)
1 85
 
0.9%
2 129
 
1.3%
8 9735
97.8%
ValueCountFrequency (%)
8 9735
97.8%
2 129
 
1.3%
1 85
 
0.9%

qp10
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.575133179
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:04.462655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.516465319
Coefficient of variation (CV)0.2001899218
Kurtosis9.086623611
Mean7.575133179
Median Absolute Deviation (MAD)0
Skewness-3.309260957
Sum75365
Variance2.299667064
MonotonicityNot monotonic
2023-03-22T13:10:04.572632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 491
 
4.9%
3 205
 
2.1%
1 38
 
0.4%
9 10
 
0.1%
ValueCountFrequency (%)
1 38
 
0.4%
2 491
 
4.9%
3 205
 
2.1%
8 9205
92.5%
9 10
 
0.1%
ValueCountFrequency (%)
9 10
 
0.1%
8 9205
92.5%
3 205
 
2.1%
2 491
 
4.9%
1 38
 
0.4%

qp11
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.974369283
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:04.691122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.414899449
Coefficient of variation (CV)0.0520291241
Kurtosis261.406621
Mean7.974369283
Median Absolute Deviation (MAD)0
Skewness-16.19628938
Sum79337
Variance0.1721415528
MonotonicityNot monotonic
2023-03-22T13:10:04.798316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9911
99.6%
1 27
 
0.3%
2 11
 
0.1%
ValueCountFrequency (%)
1 27
 
0.3%
2 11
 
0.1%
8 9911
99.6%
ValueCountFrequency (%)
8 9911
99.6%
2 11
 
0.1%
1 27
 
0.3%

qp12
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.869333601
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:04.915654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9034699272
Coefficient of variation (CV)0.1148089499
Kurtosis44.71563513
Mean7.869333601
Median Absolute Deviation (MAD)0
Skewness-6.811988025
Sum78292
Variance0.8162579093
MonotonicityNot monotonic
2023-03-22T13:10:05.021904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9744
97.9%
2 135
 
1.4%
1 70
 
0.7%
ValueCountFrequency (%)
1 70
 
0.7%
2 135
 
1.4%
8 9744
97.9%
ValueCountFrequency (%)
8 9744
97.9%
2 135
 
1.4%
1 70
 
0.7%

qp13
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.575233692
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:05.139938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.520564621
Coefficient of variation (CV)0.2007284108
Kurtosis9.130272678
Mean7.575233692
Median Absolute Deviation (MAD)0
Skewness-3.315817313
Sum75366
Variance2.312116765
MonotonicityNot monotonic
2023-03-22T13:10:05.249044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 500
 
5.0%
3 189
 
1.9%
1 42
 
0.4%
9 13
 
0.1%
ValueCountFrequency (%)
1 42
 
0.4%
2 500
 
5.0%
3 189
 
1.9%
8 9205
92.5%
9 13
 
0.1%
ValueCountFrequency (%)
9 13
 
0.1%
8 9205
92.5%
3 189
 
1.9%
2 500
 
5.0%
1 42
 
0.4%

qp14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.97155493
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:05.370031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4378262234
Coefficient of variation (CV)0.05492356601
Kurtosis235.7339298
Mean7.97155493
Median Absolute Deviation (MAD)0
Skewness-15.38918185
Sum79309
Variance0.1916918019
MonotonicityNot monotonic
2023-03-22T13:10:05.476095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9907
99.6%
1 31
 
0.3%
2 11
 
0.1%
ValueCountFrequency (%)
1 31
 
0.3%
2 11
 
0.1%
8 9907
99.6%
ValueCountFrequency (%)
8 9907
99.6%
2 11
 
0.1%
1 31
 
0.3%

qp15
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.882902804
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:05.593094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8530192933
Coefficient of variation (CV)0.1082113169
Kurtosis49.66143197
Mean7.882902804
Median Absolute Deviation (MAD)0
Skewness-7.162683615
Sum78427
Variance0.7276419147
MonotonicityNot monotonic
2023-03-22T13:10:05.704078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9760
98.1%
2 134
 
1.3%
1 52
 
0.5%
9 3
 
< 0.1%
ValueCountFrequency (%)
1 52
 
0.5%
2 134
 
1.3%
8 9760
98.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9760
98.1%
2 134
 
1.3%
1 52
 
0.5%

qp16
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.580460348
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:05.825908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.513205559
Coefficient of variation (CV)0.1996192169
Kurtosis9.297639807
Mean7.580460348
Median Absolute Deviation (MAD)0
Skewness-3.33808163
Sum75418
Variance2.289791063
MonotonicityNot monotonic
2023-03-22T13:10:05.935595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 478
 
4.8%
3 198
 
2.0%
1 48
 
0.5%
9 20
 
0.2%
ValueCountFrequency (%)
1 48
 
0.5%
2 478
 
4.8%
3 198
 
2.0%
8 9205
92.5%
9 20
 
0.2%
ValueCountFrequency (%)
9 20
 
0.2%
8 9205
92.5%
3 198
 
2.0%
2 478
 
4.8%
1 48
 
0.5%

qp17
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.967534426
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:06.053951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4673189213
Coefficient of variation (CV)0.05865289013
Kurtosis205.7315448
Mean7.967534426
Median Absolute Deviation (MAD)0
Skewness-14.38453872
Sum79269
Variance0.2183869742
MonotonicityNot monotonic
2023-03-22T13:10:06.160029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9901
99.5%
1 35
 
0.4%
2 13
 
0.1%
ValueCountFrequency (%)
1 35
 
0.4%
2 13
 
0.1%
8 9901
99.5%
ValueCountFrequency (%)
8 9901
99.5%
2 13
 
0.1%
1 35
 
0.4%

qp18
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.875163333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:06.277334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.878354782
Coefficient of variation (CV)0.1115348019
Kurtosis46.38007054
Mean7.875163333
Median Absolute Deviation (MAD)0
Skewness-6.933599656
Sum78350
Variance0.771507123
MonotonicityNot monotonic
2023-03-22T13:10:06.383833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9751
98.0%
2 144
 
1.4%
1 54
 
0.5%
ValueCountFrequency (%)
1 54
 
0.5%
2 144
 
1.4%
8 9751
98.0%
ValueCountFrequency (%)
8 9751
98.0%
2 144
 
1.4%
1 54
 
0.5%

qp19
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.582370087
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:06.501701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.502034129
Coefficient of variation (CV)0.198095597
Kurtosis9.263806713
Mean7.582370087
Median Absolute Deviation (MAD)0
Skewness-3.332515582
Sum75437
Variance2.256106525
MonotonicityNot monotonic
2023-03-22T13:10:06.611016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 457
 
4.6%
3 230
 
2.3%
1 40
 
0.4%
9 17
 
0.2%
ValueCountFrequency (%)
1 40
 
0.4%
2 457
 
4.6%
3 230
 
2.3%
8 9205
92.5%
9 17
 
0.2%
ValueCountFrequency (%)
9 17
 
0.2%
8 9205
92.5%
3 230
 
2.3%
2 457
 
4.6%
1 40
 
0.4%

qp20
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.972761082
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:06.729756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4295594677
Coefficient of variation (CV)0.05387838206
Kurtosis247.3129035
Mean7.972761082
Median Absolute Deviation (MAD)0
Skewness-15.76307327
Sum79321
Variance0.1845213363
MonotonicityNot monotonic
2023-03-22T13:10:06.836070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9909
99.6%
1 31
 
0.3%
2 9
 
0.1%
ValueCountFrequency (%)
1 31
 
0.3%
2 9
 
0.1%
8 9909
99.6%
ValueCountFrequency (%)
8 9909
99.6%
2 9
 
0.1%
1 31
 
0.3%

qp21
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.853553121
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:06.953424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9576699718
Coefficient of variation (CV)0.121940981
Kurtosis39.51841305
Mean7.853553121
Median Absolute Deviation (MAD)0
Skewness-6.420960376
Sum78135
Variance0.9171317749
MonotonicityNot monotonic
2023-03-22T13:10:07.063628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9719
97.7%
2 145
 
1.5%
1 84
 
0.8%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 84
 
0.8%
2 145
 
1.5%
8 9719
97.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9719
97.7%
2 145
 
1.5%
1 84
 
0.8%

qp22
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.581465474
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:07.185552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.502016545
Coefficient of variation (CV)0.1981169143
Kurtosis9.212479217
Mean7.581465474
Median Absolute Deviation (MAD)0
Skewness-3.325809307
Sum75428
Variance2.256053703
MonotonicityNot monotonic
2023-03-22T13:10:07.294670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 462
 
4.6%
3 231
 
2.3%
1 36
 
0.4%
9 15
 
0.2%
ValueCountFrequency (%)
1 36
 
0.4%
2 462
 
4.6%
3 231
 
2.3%
8 9205
92.5%
9 15
 
0.2%
ValueCountFrequency (%)
9 15
 
0.2%
8 9205
92.5%
3 231
 
2.3%
2 462
 
4.6%
1 36
 
0.4%

qp23
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.975474922
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:07.413981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4077574919
Coefficient of variation (CV)0.05112642142
Kurtosis275.3065055
Mean7.975474922
Median Absolute Deviation (MAD)0
Skewness-16.62483895
Sum79348
Variance0.1662661722
MonotonicityNot monotonic
2023-03-22T13:10:07.520165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9913
99.6%
1 28
 
0.3%
2 8
 
0.1%
ValueCountFrequency (%)
1 28
 
0.3%
2 8
 
0.1%
8 9913
99.6%
ValueCountFrequency (%)
8 9913
99.6%
2 8
 
0.1%
1 28
 
0.3%

qp24
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.853352096
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:07.637494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9597362962
Coefficient of variation (CV)0.122207216
Kurtosis39.51537813
Mean7.853352096
Median Absolute Deviation (MAD)0
Skewness-6.42018323
Sum78133
Variance0.9210937583
MonotonicityNot monotonic
2023-03-22T13:10:07.748159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9718
97.7%
2 142
 
1.4%
1 87
 
0.9%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 87
 
0.9%
2 142
 
1.4%
8 9718
97.7%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9718
97.7%
2 142
 
1.4%
1 87
 
0.9%

qp25
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.576741381
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:07.870430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.522141172
Coefficient of variation (CV)0.2008965458
Kurtosis9.165853619
Mean7.576741381
Median Absolute Deviation (MAD)0
Skewness-3.322816732
Sum75381
Variance2.316913747
MonotonicityNot monotonic
2023-03-22T13:10:07.990065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 525
 
5.3%
3 164
 
1.6%
1 37
 
0.4%
9 18
 
0.2%
ValueCountFrequency (%)
1 37
 
0.4%
2 525
 
5.3%
3 164
 
1.6%
8 9205
92.5%
9 18
 
0.2%
ValueCountFrequency (%)
9 18
 
0.2%
8 9205
92.5%
3 164
 
1.6%
2 525
 
5.3%
1 37
 
0.4%

qp26
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.975072872
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:08.108502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4089639533
Coefficient of variation (CV)0.05128027792
Kurtosis268.6993825
Mean7.975072872
Median Absolute Deviation (MAD)0
Skewness-16.41826249
Sum79344
Variance0.1672515151
MonotonicityNot monotonic
2023-03-22T13:10:08.214510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9912
99.6%
1 26
 
0.3%
2 11
 
0.1%
ValueCountFrequency (%)
1 26
 
0.3%
2 11
 
0.1%
8 9912
99.6%
ValueCountFrequency (%)
8 9912
99.6%
2 11
 
0.1%
1 26
 
0.3%

qp27
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.898984823
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:08.331702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7886585335
Coefficient of variation (CV)0.0998430243
Kurtosis57.59861428
Mean7.898984823
Median Absolute Deviation (MAD)0
Skewness-7.696450629
Sum78587
Variance0.6219822825
MonotonicityNot monotonic
2023-03-22T13:10:08.442050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9785
98.4%
2 127
 
1.3%
1 35
 
0.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 35
 
0.4%
2 127
 
1.3%
8 9785
98.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9785
98.4%
2 127
 
1.3%
1 35
 
0.4%

qp28
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.584983415
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:08.564496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.505498451
Coefficient of variation (CV)0.1984840794
Kurtosis9.351423513
Mean7.584983415
Median Absolute Deviation (MAD)0
Skewness-3.347703745
Sum75463
Variance2.266525585
MonotonicityNot monotonic
2023-03-22T13:10:08.673526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 495
 
5.0%
3 188
 
1.9%
1 35
 
0.4%
9 26
 
0.3%
ValueCountFrequency (%)
1 35
 
0.4%
2 495
 
5.0%
3 188
 
1.9%
8 9205
92.5%
9 26
 
0.3%
ValueCountFrequency (%)
9 26
 
0.3%
8 9205
92.5%
3 188
 
1.9%
2 495
 
5.0%
1 35
 
0.4%

qp29
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.975977485
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:08.791966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4049426507
Coefficient of variation (CV)0.05077028508
Kurtosis282.5273863
Mean7.975977485
Median Absolute Deviation (MAD)0
Skewness-16.84545527
Sum79353
Variance0.1639785504
MonotonicityNot monotonic
2023-03-22T13:10:08.898801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9914
99.6%
1 29
 
0.3%
2 6
 
0.1%
ValueCountFrequency (%)
1 29
 
0.3%
2 6
 
0.1%
8 9914
99.6%
ValueCountFrequency (%)
8 9914
99.6%
2 6
 
0.1%
1 29
 
0.3%

qp30
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.88581767
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:09.016030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8368215418
Coefficient of variation (CV)0.1061172825
Kurtosis50.03318632
Mean7.88581767
Median Absolute Deviation (MAD)0
Skewness-7.190847058
Sum78456
Variance0.7002702928
MonotonicityNot monotonic
2023-03-22T13:10:09.125924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9761
98.1%
2 148
 
1.5%
1 36
 
0.4%
9 4
 
< 0.1%
ValueCountFrequency (%)
1 36
 
0.4%
2 148
 
1.5%
8 9761
98.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 9761
98.1%
2 148
 
1.5%
1 36
 
0.4%

qp31
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.582571113
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:09.247706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.505365616
Coefficient of variation (CV)0.1985297062
Kurtosis9.275773711
Mean7.582571113
Median Absolute Deviation (MAD)0
Skewness-3.33577914
Sum75439
Variance2.266125636
MonotonicityNot monotonic
2023-03-22T13:10:09.357110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 479
 
4.8%
3 208
 
2.1%
1 37
 
0.4%
9 20
 
0.2%
ValueCountFrequency (%)
1 37
 
0.4%
2 479
 
4.8%
3 208
 
2.1%
8 9205
92.5%
9 20
 
0.2%
ValueCountFrequency (%)
9 20
 
0.2%
8 9205
92.5%
3 208
 
2.1%
2 479
 
4.8%
1 37
 
0.4%

qp32
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.974570309
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:09.475728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4168455131
Coefficient of variation (CV)0.05227184625
Kurtosis266.8428379
Mean7.974570309
Median Absolute Deviation (MAD)0
Skewness-16.37557124
Sum79339
Variance0.1737601818
MonotonicityNot monotonic
2023-03-22T13:10:09.581820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9912
99.6%
1 31
 
0.3%
2 6
 
0.1%
ValueCountFrequency (%)
1 31
 
0.3%
2 6
 
0.1%
8 9912
99.6%
ValueCountFrequency (%)
8 9912
99.6%
2 6
 
0.1%
1 31
 
0.3%

qp33
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.870841291
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:09.699327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8919867914
Coefficient of variation (CV)0.1133280114
Kurtosis44.31611329
Mean7.870841291
Median Absolute Deviation (MAD)0
Skewness-6.783513579
Sum78307
Variance0.7956404361
MonotonicityNot monotonic
2023-03-22T13:10:09.809526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9741
97.9%
2 155
 
1.6%
1 51
 
0.5%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 51
 
0.5%
2 155
 
1.6%
8 9741
97.9%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9741
97.9%
2 155
 
1.6%
1 51
 
0.5%

qp34
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.582269575
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:09.931596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.507584109
Coefficient of variation (CV)0.1988301912
Kurtosis9.263454747
Mean7.582269575
Median Absolute Deviation (MAD)0
Skewness-3.335150573
Sum75436
Variance2.272809847
MonotonicityNot monotonic
2023-03-22T13:10:10.040749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 494
 
5.0%
3 195
 
2.0%
1 34
 
0.3%
9 21
 
0.2%
ValueCountFrequency (%)
1 34
 
0.3%
2 494
 
5.0%
3 195
 
2.0%
8 9205
92.5%
9 21
 
0.2%
ValueCountFrequency (%)
9 21
 
0.2%
8 9205
92.5%
3 195
 
2.0%
2 494
 
5.0%
1 34
 
0.3%

qp35
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.976580561
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:10.159315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4004851389
Coefficient of variation (CV)0.05020762165
Kurtosis290.5694387
Mean7.976580561
Median Absolute Deviation (MAD)0
Skewness-17.08468556
Sum79359
Variance0.1603883465
MonotonicityNot monotonic
2023-03-22T13:10:10.265589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9915
99.7%
1 29
 
0.3%
2 5
 
0.1%
ValueCountFrequency (%)
1 29
 
0.3%
2 5
 
0.1%
8 9915
99.7%
ValueCountFrequency (%)
8 9915
99.7%
2 5
 
0.1%
1 29
 
0.3%

qp36
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.877977686
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:10.382687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8650303661
Coefficient of variation (CV)0.109803607
Kurtosis47.0691446
Mean7.877977686
Median Absolute Deviation (MAD)0
Skewness-6.984443325
Sum78378
Variance0.7482775343
MonotonicityNot monotonic
2023-03-22T13:10:10.491318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9754
98.0%
2 151
 
1.5%
1 44
 
0.4%
ValueCountFrequency (%)
1 44
 
0.4%
2 151
 
1.5%
8 9754
98.0%
ValueCountFrequency (%)
8 9754
98.0%
2 151
 
1.5%
1 44
 
0.4%

qp37
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.578349583
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:10.611156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.518621066
Coefficient of variation (CV)0.2003894185
Kurtosis9.234673016
Mean7.578349583
Median Absolute Deviation (MAD)0
Skewness-3.330774805
Sum75397
Variance2.306209942
MonotonicityNot monotonic
2023-03-22T13:10:10.720713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 501
 
5.0%
3 180
 
1.8%
1 44
 
0.4%
9 19
 
0.2%
ValueCountFrequency (%)
1 44
 
0.4%
2 501
 
5.0%
3 180
 
1.8%
8 9205
92.5%
9 19
 
0.2%
ValueCountFrequency (%)
9 19
 
0.2%
8 9205
92.5%
3 180
 
1.8%
2 501
 
5.0%
1 44
 
0.4%

qp38
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.970750829
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:10.840008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4464136331
Coefficient of variation (CV)0.056006472
Kurtosis229.2879518
Mean7.970750829
Median Absolute Deviation (MAD)0
Skewness-15.1789186
Sum79301
Variance0.1992851318
MonotonicityNot monotonic
2023-03-22T13:10:10.950196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9905
99.6%
1 34
 
0.3%
2 9
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 34
 
0.3%
2 9
 
0.1%
8 9905
99.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9905
99.6%
2 9
 
0.1%
1 34
 
0.3%

qp39
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.888430998
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:11.071240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8303015865
Coefficient of variation (CV)0.1052556062
Kurtosis52.06073131
Mean7.888430998
Median Absolute Deviation (MAD)0
Skewness-7.328873983
Sum78482
Variance0.6894007246
MonotonicityNot monotonic
2023-03-22T13:10:11.183086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9769
98.2%
2 134
 
1.3%
1 44
 
0.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 44
 
0.4%
2 134
 
1.3%
8 9769
98.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9769
98.2%
2 134
 
1.3%
1 44
 
0.4%

qp40
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.579354709
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:11.304842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.518237856
Coefficient of variation (CV)0.2003122843
Kurtosis9.280735461
Mean7.579354709
Median Absolute Deviation (MAD)0
Skewness-3.336949386
Sum75407
Variance2.305046186
MonotonicityNot monotonic
2023-03-22T13:10:11.414326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 497
 
5.0%
3 179
 
1.8%
1 47
 
0.5%
9 21
 
0.2%
ValueCountFrequency (%)
1 47
 
0.5%
2 497
 
5.0%
3 179
 
1.8%
8 9205
92.5%
9 21
 
0.2%
ValueCountFrequency (%)
9 21
 
0.2%
8 9205
92.5%
3 179
 
1.8%
2 497
 
5.0%
1 47
 
0.5%

qp41
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.968036989
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:11.532958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4648734606
Coefficient of variation (CV)0.05834228195
Kurtosis209.8345292
Mean7.968036989
Median Absolute Deviation (MAD)0
Skewness-14.5291428
Sum79274
Variance0.2161073344
MonotonicityNot monotonic
2023-03-22T13:10:11.639228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9902
99.5%
1 36
 
0.4%
2 11
 
0.1%
ValueCountFrequency (%)
1 36
 
0.4%
2 11
 
0.1%
8 9902
99.5%
ValueCountFrequency (%)
8 9902
99.5%
2 11
 
0.1%
1 36
 
0.4%

qp42
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.888833049
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:11.756569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8263508851
Coefficient of variation (CV)0.1047494452
Kurtosis52.00351335
Mean7.888833049
Median Absolute Deviation (MAD)0
Skewness-7.326896698
Sum78486
Variance0.6828557853
MonotonicityNot monotonic
2023-03-22T13:10:11.867078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9770
98.2%
2 139
 
1.4%
1 39
 
0.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 39
 
0.4%
2 139
 
1.4%
8 9770
98.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9770
98.2%
2 139
 
1.4%
1 39
 
0.4%

qp43
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.579756759
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:11.989201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.516825717
Coefficient of variation (CV)0.2001153552
Kurtosis9.282711665
Mean7.579756759
Median Absolute Deviation (MAD)0
Skewness-3.337160528
Sum75411
Variance2.300760254
MonotonicityNot monotonic
2023-03-22T13:10:12.099033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 495
 
5.0%
3 182
 
1.8%
1 46
 
0.5%
9 21
 
0.2%
ValueCountFrequency (%)
1 46
 
0.5%
2 495
 
5.0%
3 182
 
1.8%
8 9205
92.5%
9 21
 
0.2%
ValueCountFrequency (%)
9 21
 
0.2%
8 9205
92.5%
3 182
 
1.8%
2 495
 
5.0%
1 46
 
0.5%

qp44
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.969846216
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:12.218830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4500540405
Coefficient of variation (CV)0.05646960159
Kurtosis219.9565301
Mean7.969846216
Median Absolute Deviation (MAD)0
Skewness-14.86060235
Sum79292
Variance0.2025486394
MonotonicityNot monotonic
2023-03-22T13:10:12.328911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9903
99.5%
1 31
 
0.3%
2 14
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 31
 
0.3%
2 14
 
0.1%
8 9903
99.5%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9903
99.5%
2 14
 
0.1%
1 31
 
0.3%

qp45
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.888632023
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:12.450745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.827053395
Coefficient of variation (CV)0.104841168
Kurtosis51.61771875
Mean7.888632023
Median Absolute Deviation (MAD)0
Skewness-7.299705413
Sum78484
Variance0.6840173182
MonotonicityNot monotonic
2023-03-22T13:10:12.560814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9767
98.2%
2 142
 
1.4%
1 37
 
0.4%
9 3
 
< 0.1%
ValueCountFrequency (%)
1 37
 
0.4%
2 142
 
1.4%
8 9767
98.2%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9767
98.2%
2 142
 
1.4%
1 37
 
0.4%

qp46
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.584882903
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:12.682677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.502830943
Coefficient of variation (CV)0.1981350223
Kurtosis9.318290818
Mean7.584882903
Median Absolute Deviation (MAD)0
Skewness-3.342903617
Sum75462
Variance2.258500843
MonotonicityNot monotonic
2023-03-22T13:10:12.794274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 490
 
4.9%
3 198
 
2.0%
1 32
 
0.3%
9 24
 
0.2%
ValueCountFrequency (%)
1 32
 
0.3%
2 490
 
4.9%
3 198
 
2.0%
8 9205
92.5%
9 24
 
0.2%
ValueCountFrequency (%)
9 24
 
0.2%
8 9205
92.5%
3 198
 
2.0%
2 490
 
4.9%
1 32
 
0.3%

qp47
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.977887225
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:12.913072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3897478887
Coefficient of variation (CV)0.04885352195
Kurtosis308.6293545
Mean7.977887225
Median Absolute Deviation (MAD)0
Skewness-17.60679846
Sum79372
Variance0.1519034167
MonotonicityNot monotonic
2023-03-22T13:10:13.019351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9917
99.7%
1 28
 
0.3%
2 4
 
< 0.1%
ValueCountFrequency (%)
1 28
 
0.3%
2 4
 
< 0.1%
8 9917
99.7%
ValueCountFrequency (%)
8 9917
99.7%
2 4
 
< 0.1%
1 28
 
0.3%

qp48
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.878178711
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:13.136478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8627315047
Coefficient of variation (CV)0.1095090041
Kurtosis46.69127259
Mean7.878178711
Median Absolute Deviation (MAD)0
Skewness-6.95759948
Sum78380
Variance0.7443056492
MonotonicityNot monotonic
2023-03-22T13:10:13.246722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9751
98.0%
2 158
 
1.6%
1 38
 
0.4%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 38
 
0.4%
2 158
 
1.6%
8 9751
98.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9751
98.0%
2 158
 
1.6%
1 38
 
0.4%

qp49
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.578048045
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:13.369361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.52200868
Coefficient of variation (CV)0.2008444221
Kurtosis9.213643252
Mean7.578048045
Median Absolute Deviation (MAD)0
Skewness-3.329826923
Sum75394
Variance2.316510424
MonotonicityNot monotonic
2023-03-22T13:10:13.478566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9205
92.5%
2 528
 
5.3%
3 157
 
1.6%
1 38
 
0.4%
9 21
 
0.2%
ValueCountFrequency (%)
1 38
 
0.4%
2 528
 
5.3%
3 157
 
1.6%
8 9205
92.5%
9 21
 
0.2%
ValueCountFrequency (%)
9 21
 
0.2%
8 9205
92.5%
3 157
 
1.6%
2 528
 
5.3%
1 38
 
0.4%

qp50
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.974268771
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:13.597706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4164651067
Coefficient of variation (CV)0.05222611862
Kurtosis261.0885915
Mean7.974268771
Median Absolute Deviation (MAD)0
Skewness-16.18897199
Sum79336
Variance0.1734431851
MonotonicityNot monotonic
2023-03-22T13:10:13.703845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9911
99.6%
1 28
 
0.3%
2 10
 
0.1%
ValueCountFrequency (%)
1 28
 
0.3%
2 10
 
0.1%
8 9911
99.6%
ValueCountFrequency (%)
8 9911
99.6%
2 10
 
0.1%
1 28
 
0.3%

qp51
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.902904815
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:13.820858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7718279215
Coefficient of variation (CV)0.0976638261
Kurtosis59.96406355
Mean7.902904815
Median Absolute Deviation (MAD)0
Skewness-7.849541699
Sum78626
Variance0.5957183405
MonotonicityNot monotonic
2023-03-22T13:10:13.930771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9792
98.4%
2 125
 
1.3%
1 31
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 31
 
0.3%
2 125
 
1.3%
8 9792
98.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9792
98.4%
2 125
 
1.3%
1 31
 
0.3%

qp52
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.426977586
Minimum0
Maximum9
Zeros629
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:14.054546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.050042396
Coefficient of variation (CV)0.2760264687
Kurtosis8.85621895
Mean7.426977586
Median Absolute Deviation (MAD)0
Skewness-3.289736244
Sum73891
Variance4.202673825
MonotonicityNot monotonic
2023-03-22T13:10:14.154212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9205
92.5%
0 629
 
6.3%
1 98
 
1.0%
9 17
 
0.2%
ValueCountFrequency (%)
0 629
 
6.3%
1 98
 
1.0%
8 9205
92.5%
9 17
 
0.2%
ValueCountFrequency (%)
9 17
 
0.2%
8 9205
92.5%
1 98
 
1.0%
0 629
 
6.3%

qp53
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.433611418
Minimum0
Maximum9
Zeros635
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:14.261302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.043490758
Coefficient of variation (CV)0.2748987865
Kurtosis9.009981277
Mean7.433611418
Median Absolute Deviation (MAD)0
Skewness-3.312850595
Sum73957
Variance4.175854477
MonotonicityNot monotonic
2023-03-22T13:10:14.360761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9205
92.5%
0 635
 
6.4%
1 83
 
0.8%
9 26
 
0.3%
ValueCountFrequency (%)
0 635
 
6.4%
1 83
 
0.8%
8 9205
92.5%
9 26
 
0.3%
ValueCountFrequency (%)
9 26
 
0.3%
8 9205
92.5%
1 83
 
0.8%
0 635
 
6.4%

qp54
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.451000101
Minimum0
Maximum9
Zeros326
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:14.467952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.95226927
Coefficient of variation (CV)0.2620143932
Kurtosis8.867128663
Mean7.451000101
Median Absolute Deviation (MAD)0
Skewness-3.284825191
Sum74130
Variance3.811355302
MonotonicityNot monotonic
2023-03-22T13:10:14.568368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9205
92.5%
1 409
 
4.1%
0 326
 
3.3%
9 9
 
0.1%
ValueCountFrequency (%)
0 326
 
3.3%
1 409
 
4.1%
8 9205
92.5%
9 9
 
0.1%
ValueCountFrequency (%)
9 9
 
0.1%
8 9205
92.5%
1 409
 
4.1%
0 326
 
3.3%

qp55
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.426273997
Minimum0
Maximum9
Zeros636
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:14.675370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.052418522
Coefficient of variation (CV)0.2763725824
Kurtosis8.849921162
Mean7.426273997
Median Absolute Deviation (MAD)0
Skewness-3.289033593
Sum73884
Variance4.212421791
MonotonicityNot monotonic
2023-03-22T13:10:14.775004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9205
92.5%
0 636
 
6.4%
1 91
 
0.9%
9 17
 
0.2%
ValueCountFrequency (%)
0 636
 
6.4%
1 91
 
0.9%
8 9205
92.5%
9 17
 
0.2%
ValueCountFrequency (%)
9 17
 
0.2%
8 9205
92.5%
1 91
 
0.9%
0 636
 
6.4%

r1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1000100513
Minimum0
Maximum1
Zeros8954
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:14.881132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3000284799
Coefficient of variation (CV)2.999983263
Kurtosis5.1132909
Mean0.1000100513
Median Absolute Deviation (MAD)0
Skewness2.666882645
Sum995
Variance0.09001708876
MonotonicityNot monotonic
2023-03-22T13:10:14.992599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8954
90.0%
1 995
 
10.0%
ValueCountFrequency (%)
0 8954
90.0%
1 995
 
10.0%
ValueCountFrequency (%)
1 995
 
10.0%
0 8954
90.0%

r2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.006030757
Minimum0
Maximum9
Zeros7409
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:15.104876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.459883974
Coefficient of variation (CV)2.445137942
Kurtosis4.266799503
Mean1.006030757
Median Absolute Deviation (MAD)0
Skewness2.465764519
Sum10009
Variance6.051029167
MonotonicityNot monotonic
2023-03-22T13:10:15.204518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7409
74.5%
1 1482
 
14.9%
8 995
 
10.0%
9 63
 
0.6%
ValueCountFrequency (%)
0 7409
74.5%
1 1482
 
14.9%
8 995
 
10.0%
9 63
 
0.6%
ValueCountFrequency (%)
9 63
 
0.6%
8 995
 
10.0%
1 1482
 
14.9%
0 7409
74.5%

r3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.144637652
Minimum0
Maximum9
Zeros6174
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:15.311964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.453935615
Coefficient of variation (CV)2.143853656
Kurtosis3.979627771
Mean1.144637652
Median Absolute Deviation (MAD)0
Skewness2.385193735
Sum11388
Variance6.021800002
MonotonicityNot monotonic
2023-03-22T13:10:15.413003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6174
62.1%
1 2699
27.1%
8 995
 
10.0%
9 81
 
0.8%
ValueCountFrequency (%)
0 6174
62.1%
1 2699
27.1%
8 995
 
10.0%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
8 995
 
10.0%
1 2699
27.1%
0 6174
62.1%

r4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.104231581
Minimum0
Maximum9
Zeros6576
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:15.522366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.464197024
Coefficient of variation (CV)2.23159441
Kurtosis4.02186823
Mean1.104231581
Median Absolute Deviation (MAD)0
Skewness2.400683682
Sum10986
Variance6.072266973
MonotonicityNot monotonic
2023-03-22T13:10:15.623347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6576
66.1%
1 2297
 
23.1%
8 995
 
10.0%
9 81
 
0.8%
ValueCountFrequency (%)
0 6576
66.1%
1 2297
 
23.1%
8 995
 
10.0%
9 81
 
0.8%
ValueCountFrequency (%)
9 81
 
0.8%
8 995
 
10.0%
1 2297
 
23.1%
0 6576
66.1%

r5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.629611016
Minimum0
Maximum9
Zeros1693
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:15.731007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.339330779
Coefficient of variation (CV)1.435514829
Kurtosis3.775532791
Mean1.629611016
Median Absolute Deviation (MAD)0
Skewness2.338597735
Sum16213
Variance5.472468496
MonotonicityNot monotonic
2023-03-22T13:10:15.830674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 7137
71.7%
0 1693
 
17.0%
8 995
 
10.0%
9 124
 
1.2%
ValueCountFrequency (%)
0 1693
 
17.0%
1 7137
71.7%
8 995
 
10.0%
9 124
 
1.2%
ValueCountFrequency (%)
9 124
 
1.2%
8 995
 
10.0%
1 7137
71.7%
0 1693
 
17.0%

r6
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.073072671
Minimum0
Maximum9
Zeros7046
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:15.937726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.500741269
Coefficient of variation (CV)2.330449127
Kurtosis3.940402924
Mean1.073072671
Median Absolute Deviation (MAD)0
Skewness2.393585623
Sum10676
Variance6.253706893
MonotonicityNot monotonic
2023-03-22T13:10:16.037427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7046
70.8%
1 1807
 
18.2%
8 995
 
10.0%
9 101
 
1.0%
ValueCountFrequency (%)
0 7046
70.8%
1 1807
 
18.2%
8 995
 
10.0%
9 101
 
1.0%
ValueCountFrequency (%)
9 101
 
1.0%
8 995
 
10.0%
1 1807
 
18.2%
0 7046
70.8%

r7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.64438637
Minimum0
Maximum9
Zeros1810
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:16.144383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.382794154
Coefficient of variation (CV)1.449047618
Kurtosis3.543792804
Mean1.64438637
Median Absolute Deviation (MAD)0
Skewness2.289047144
Sum16360
Variance5.677707979
MonotonicityNot monotonic
2023-03-22T13:10:16.244134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6987
70.2%
0 1810
 
18.2%
8 995
 
10.0%
9 157
 
1.6%
ValueCountFrequency (%)
0 1810
 
18.2%
1 6987
70.2%
8 995
 
10.0%
9 157
 
1.6%
ValueCountFrequency (%)
9 157
 
1.6%
8 995
 
10.0%
1 6987
70.2%
0 1810
 
18.2%

r8
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.091667504
Minimum0
Maximum9
Zeros6941
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:16.351261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.510860992
Coefficient of variation (CV)2.300023572
Kurtosis3.858029196
Mean1.091667504
Median Absolute Deviation (MAD)0
Skewness2.374999815
Sum10861
Variance6.304422923
MonotonicityNot monotonic
2023-03-22T13:10:16.450970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6941
69.8%
1 1902
 
19.1%
8 995
 
10.0%
9 111
 
1.1%
ValueCountFrequency (%)
0 6941
69.8%
1 1902
 
19.1%
8 995
 
10.0%
9 111
 
1.1%
ValueCountFrequency (%)
9 111
 
1.1%
8 995
 
10.0%
1 1902
 
19.1%
0 6941
69.8%

r9
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.156699166
Minimum0
Maximum9
Zeros6518
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:16.557942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.534932978
Coefficient of variation (CV)2.191523132
Kurtosis3.624399792
Mean1.156699166
Median Absolute Deviation (MAD)0
Skewness2.319860554
Sum11508
Variance6.425885203
MonotonicityNot monotonic
2023-03-22T13:10:16.657283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6518
65.5%
1 2297
 
23.1%
8 995
 
10.0%
9 139
 
1.4%
ValueCountFrequency (%)
0 6518
65.5%
1 2297
 
23.1%
8 995
 
10.0%
9 139
 
1.4%
ValueCountFrequency (%)
9 139
 
1.4%
8 995
 
10.0%
1 2297
 
23.1%
0 6518
65.5%

s1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.865011559
Minimum0
Maximum9
Zeros1927
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:16.763556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8031971776
Coefficient of variation (CV)0.9285392423
Kurtosis74.52641171
Mean0.865011559
Median Absolute Deviation (MAD)0
Skewness7.387466477
Sum8606
Variance0.645125706
MonotonicityNot monotonic
2023-03-22T13:10:16.863946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7949
79.9%
0 1927
 
19.4%
9 73
 
0.7%
ValueCountFrequency (%)
0 1927
 
19.4%
1 7949
79.9%
9 73
 
0.7%
ValueCountFrequency (%)
9 73
 
0.7%
1 7949
79.9%
0 1927
 
19.4%

s2
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.187858076
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:16.974386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.724257981
Coefficient of variation (CV)0.8545731699
Kurtosis-0.7234710821
Mean3.187858076
Median Absolute Deviation (MAD)1
Skewness0.9684778576
Sum31716
Variance7.42158155
MonotonicityNot monotonic
2023-03-22T13:10:17.087689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4049
40.7%
2 2129
21.4%
8 2000
20.1%
3 803
 
8.1%
5 389
 
3.9%
4 286
 
2.9%
6 242
 
2.4%
9 51
 
0.5%
ValueCountFrequency (%)
1 4049
40.7%
2 2129
21.4%
3 803
 
8.1%
4 286
 
2.9%
5 389
 
3.9%
ValueCountFrequency (%)
9 51
 
0.5%
8 2000
20.1%
6 242
 
2.4%
5 389
 
3.9%
4 286
 
2.9%

s3
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.290079405
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:17.212085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.813654148
Coefficient of variation (CV)0.8551933863
Kurtosis-0.9817024213
Mean3.290079405
Median Absolute Deviation (MAD)1
Skewness0.8591946676
Sum32733
Variance7.916649662
MonotonicityNot monotonic
2023-03-22T13:10:17.325328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4090
41.1%
2 2177
21.9%
8 2000
20.1%
6 711
 
7.1%
3 544
 
5.5%
4 180
 
1.8%
5 138
 
1.4%
9 109
 
1.1%
ValueCountFrequency (%)
1 4090
41.1%
2 2177
21.9%
3 544
 
5.5%
4 180
 
1.8%
5 138
 
1.4%
ValueCountFrequency (%)
9 109
 
1.1%
8 2000
20.1%
6 711
 
7.1%
5 138
 
1.4%
4 180
 
1.8%

s4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9848225952
Minimum0
Maximum9
Zeros991
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:17.448458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.880284217
Coefficient of variation (CV)0.8938505486
Kurtosis69.74517111
Mean0.9848225952
Median Absolute Deviation (MAD)0
Skewness7.829627428
Sum9798
Variance0.7749003028
MonotonicityNot monotonic
2023-03-22T13:10:17.551898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 8853
89.0%
0 991
 
10.0%
9 105
 
1.1%
ValueCountFrequency (%)
0 991
 
10.0%
1 8853
89.0%
9 105
 
1.1%
ValueCountFrequency (%)
9 105
 
1.1%
1 8853
89.0%
0 991
 
10.0%

s5
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.55784501
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:17.660929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.237010942
Coefficient of variation (CV)0.6287544667
Kurtosis-0.5056196143
Mean3.55784501
Median Absolute Deviation (MAD)2
Skewness0.7339567068
Sum35397
Variance5.004217953
MonotonicityNot monotonic
2023-03-22T13:10:17.774487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 2050
20.6%
1 1992
20.0%
3 1833
18.4%
8 1096
11.0%
5 1087
10.9%
4 978
9.8%
6 842
8.5%
9 71
 
0.7%
ValueCountFrequency (%)
1 1992
20.0%
2 2050
20.6%
3 1833
18.4%
4 978
9.8%
5 1087
10.9%
ValueCountFrequency (%)
9 71
 
0.7%
8 1096
11.0%
6 842
8.5%
5 1087
10.9%
4 978
9.8%

s6
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.437732435
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:17.898330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.410285627
Coefficient of variation (CV)0.7011265921
Kurtosis-0.6536221156
Mean3.437732435
Median Absolute Deviation (MAD)2
Skewness0.8014523888
Sum34202
Variance5.809476804
MonotonicityNot monotonic
2023-03-22T13:10:18.013897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2521
25.3%
2 2416
24.3%
3 1403
14.1%
6 1293
13.0%
8 1096
11.0%
4 634
 
6.4%
5 424
 
4.3%
9 162
 
1.6%
ValueCountFrequency (%)
1 2521
25.3%
2 2416
24.3%
3 1403
14.1%
4 634
 
6.4%
5 424
 
4.3%
ValueCountFrequency (%)
9 162
 
1.6%
8 1096
11.0%
6 1293
13.0%
5 424
 
4.3%
4 634
6.4%

s7
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9734646698
Minimum0
Maximum9
Zeros1008
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:18.139205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8360226813
Coefficient of variation (CV)0.8588115288
Kurtosis76.66391846
Mean0.9734646698
Median Absolute Deviation (MAD)0
Skewness8.114965503
Sum9685
Variance0.6989339237
MonotonicityNot monotonic
2023-03-22T13:10:18.239665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 8848
88.9%
0 1008
 
10.1%
9 93
 
0.9%
ValueCountFrequency (%)
0 1008
 
10.1%
1 8848
88.9%
9 93
 
0.9%
ValueCountFrequency (%)
9 93
 
0.9%
1 8848
88.9%
0 1008
 
10.1%

s8
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.652326867
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:18.348678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.252871969
Coefficient of variation (CV)0.8493945438
Kurtosis1.250038663
Mean2.652326867
Median Absolute Deviation (MAD)1
Skewness1.585937349
Sum26388
Variance5.07543211
MonotonicityNot monotonic
2023-03-22T13:10:18.461926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 3908
39.3%
2 2935
29.5%
3 1154
 
11.6%
8 1101
 
11.1%
4 406
 
4.1%
5 194
 
1.9%
6 171
 
1.7%
9 80
 
0.8%
ValueCountFrequency (%)
1 3908
39.3%
2 2935
29.5%
3 1154
 
11.6%
4 406
 
4.1%
5 194
 
1.9%
ValueCountFrequency (%)
9 80
 
0.8%
8 1101
11.1%
6 171
 
1.7%
5 194
 
1.9%
4 406
 
4.1%

s9
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.356920293
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:18.585950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.500333231
Coefficient of variation (CV)0.7448294904
Kurtosis-0.6985971922
Mean3.356920293
Median Absolute Deviation (MAD)1
Skewness0.8472610497
Sum33398
Variance6.251666268
MonotonicityNot monotonic
2023-03-22T13:10:18.701570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2848
28.6%
2 2694
27.1%
6 1438
14.5%
8 1101
 
11.1%
3 1028
 
10.3%
4 402
 
4.0%
5 227
 
2.3%
9 211
 
2.1%
ValueCountFrequency (%)
1 2848
28.6%
2 2694
27.1%
3 1028
 
10.3%
4 402
 
4.0%
5 227
 
2.3%
ValueCountFrequency (%)
9 211
 
2.1%
8 1101
11.1%
6 1438
14.5%
5 227
 
2.3%
4 402
 
4.0%

s10
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08453110865
Minimum0
Maximum1
Zeros9108
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:18.826682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2781966559
Coefficient of variation (CV)3.291056515
Kurtosis6.926384206
Mean0.08453110865
Median Absolute Deviation (MAD)0
Skewness2.987472488
Sum841
Variance0.07739337933
MonotonicityNot monotonic
2023-03-22T13:10:18.938231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9108
91.5%
1 841
 
8.5%
ValueCountFrequency (%)
0 9108
91.5%
1 841
 
8.5%
ValueCountFrequency (%)
1 841
 
8.5%
0 9108
91.5%

s11
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.95185446
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:19.055292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation25.97066937
Coefficient of variation (CV)2.371349023
Kurtosis5.332270101
Mean10.95185446
Median Absolute Deviation (MAD)1
Skewness2.692999607
Sum108960
Variance674.4756673
MonotonicityNot monotonic
2023-03-22T13:10:19.176207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4186
42.1%
1 2862
28.8%
4 894
 
9.0%
88 841
 
8.5%
5 245
 
2.5%
8 193
 
1.9%
10 165
 
1.7%
3 158
 
1.6%
9 135
 
1.4%
99 133
 
1.3%
Other values (2) 137
 
1.4%
ValueCountFrequency (%)
1 2862
28.8%
2 4186
42.1%
3 158
 
1.6%
4 894
 
9.0%
5 245
 
2.5%
ValueCountFrequency (%)
99 133
 
1.3%
88 841
8.5%
10 165
 
1.7%
9 135
 
1.4%
8 193
 
1.9%

s12
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.57694241
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:19.297452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.64390388
Coefficient of variation (CV)2.424510118
Kurtosis5.589292717
Mean10.57694241
Median Absolute Deviation (MAD)1
Skewness2.742276932
Sum105230
Variance657.6098061
MonotonicityNot monotonic
2023-03-22T13:10:19.418873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4596
46.2%
1 2825
28.4%
88 841
 
8.5%
4 826
 
8.3%
5 197
 
2.0%
10 147
 
1.5%
3 129
 
1.3%
8 120
 
1.2%
9 114
 
1.1%
99 109
 
1.1%
Other values (2) 45
 
0.5%
ValueCountFrequency (%)
1 2825
28.4%
2 4596
46.2%
3 129
 
1.3%
4 826
 
8.3%
5 197
 
2.0%
ValueCountFrequency (%)
99 109
 
1.1%
88 841
8.5%
10 147
 
1.5%
9 114
 
1.1%
8 120
 
1.2%

s13
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.11267464
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:19.540492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation25.77292253
Coefficient of variation (CV)2.31923667
Kurtosis5.385932546
Mean11.11267464
Median Absolute Deviation (MAD)1
Skewness2.697916209
Sum110560
Variance664.2435356
MonotonicityNot monotonic
2023-03-22T13:10:19.661198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3874
38.9%
1 2891
29.1%
88 841
 
8.5%
4 827
 
8.3%
10 542
 
5.4%
5 499
 
5.0%
9 153
 
1.5%
99 123
 
1.2%
8 90
 
0.9%
3 84
 
0.8%
Other values (2) 25
 
0.3%
ValueCountFrequency (%)
1 2891
29.1%
2 3874
38.9%
3 84
 
0.8%
4 827
 
8.3%
5 499
 
5.0%
ValueCountFrequency (%)
99 123
 
1.2%
88 841
8.5%
10 542
5.4%
9 153
 
1.5%
8 90
 
0.9%

s14
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.95466881
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:19.783035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q35
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation26.25265521
Coefficient of variation (CV)2.196016939
Kurtosis4.964156552
Mean11.95466881
Median Absolute Deviation (MAD)1
Skewness2.614898521
Sum118937
Variance689.2019055
MonotonicityNot monotonic
2023-03-22T13:10:19.903973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4023
40.4%
1 2030
20.4%
4 1093
 
11.0%
88 841
 
8.5%
10 712
 
7.2%
5 501
 
5.0%
9 313
 
3.1%
8 193
 
1.9%
99 164
 
1.6%
3 73
 
0.7%
Other values (2) 6
 
0.1%
ValueCountFrequency (%)
1 2030
20.4%
2 4023
40.4%
3 73
 
0.7%
4 1093
 
11.0%
5 501
 
5.0%
ValueCountFrequency (%)
99 164
 
1.6%
88 841
8.5%
10 712
7.2%
9 313
 
3.1%
8 193
 
1.9%

s15
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.961604181
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:20.017465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.08164989
Coefficient of variation (CV)1.061197723
Kurtosis4.585530423
Mean1.961604181
Median Absolute Deviation (MAD)0
Skewness2.465303397
Sum19516
Variance4.333266264
MonotonicityNot monotonic
2023-03-22T13:10:20.126926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6638
66.7%
2 1974
 
19.8%
8 841
 
8.5%
3 377
 
3.8%
9 119
 
1.2%
ValueCountFrequency (%)
1 6638
66.7%
2 1974
 
19.8%
3 377
 
3.8%
8 841
 
8.5%
9 119
 
1.2%
ValueCountFrequency (%)
9 119
 
1.2%
8 841
 
8.5%
3 377
 
3.8%
2 1974
 
19.8%
1 6638
66.7%

s16
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.032365062
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:20.246873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.08001332
Coefficient of variation (CV)1.023444734
Kurtosis4.365949048
Mean2.032365062
Median Absolute Deviation (MAD)0
Skewness2.403094429
Sum20220
Variance4.326455413
MonotonicityNot monotonic
2023-03-22T13:10:20.364257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6103
61.3%
2 2382
 
23.9%
8 841
 
8.5%
3 497
 
5.0%
9 126
 
1.3%
ValueCountFrequency (%)
1 6103
61.3%
2 2382
 
23.9%
3 497
 
5.0%
8 841
 
8.5%
9 126
 
1.3%
ValueCountFrequency (%)
9 126
 
1.3%
8 841
 
8.5%
3 497
 
5.0%
2 2382
 
23.9%
1 6103
61.3%

s16_1
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.100110564
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:20.484086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.027611222
Coefficient of variation (CV)0.9654783212
Kurtosis4.354517389
Mean2.100110564
Median Absolute Deviation (MAD)0
Skewness2.366746476
Sum20894
Variance4.111207266
MonotonicityNot monotonic
2023-03-22T13:10:20.593438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5454
54.8%
2 2802
28.2%
8 841
 
8.5%
3 760
 
7.6%
9 92
 
0.9%
ValueCountFrequency (%)
1 5454
54.8%
2 2802
28.2%
3 760
 
7.6%
8 841
 
8.5%
9 92
 
0.9%
ValueCountFrequency (%)
9 92
 
0.9%
8 841
 
8.5%
3 760
 
7.6%
2 2802
28.2%
1 5454
54.8%

s16_2
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.925721178
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:20.713412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.069949562
Coefficient of variation (CV)1.074895777
Kurtosis4.76998514
Mean1.925721178
Median Absolute Deviation (MAD)0
Skewness2.509015098
Sum19159
Variance4.284691189
MonotonicityNot monotonic
2023-03-22T13:10:20.822504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6847
68.8%
2 1841
 
18.5%
8 841
 
8.5%
3 313
 
3.1%
9 107
 
1.1%
ValueCountFrequency (%)
1 6847
68.8%
2 1841
 
18.5%
3 313
 
3.1%
8 841
 
8.5%
9 107
 
1.1%
ValueCountFrequency (%)
9 107
 
1.1%
8 841
 
8.5%
3 313
 
3.1%
2 1841
 
18.5%
1 6847
68.8%

s16_3
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.931148859
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:20.942511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.062109511
Coefficient of variation (CV)1.067814892
Kurtosis4.792357101
Mean1.931148859
Median Absolute Deviation (MAD)0
Skewness2.510366799
Sum19213
Variance4.252295634
MonotonicityNot monotonic
2023-03-22T13:10:21.052009image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6760
67.9%
2 1931
 
19.4%
8 841
 
8.5%
3 315
 
3.2%
9 102
 
1.0%
ValueCountFrequency (%)
1 6760
67.9%
2 1931
 
19.4%
3 315
 
3.2%
8 841
 
8.5%
9 102
 
1.0%
ValueCountFrequency (%)
9 102
 
1.0%
8 841
 
8.5%
3 315
 
3.2%
2 1931
 
19.4%
1 6760
67.9%

s16_4
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.993567193
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:21.172158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.844846011
Coefficient of variation (CV)0.6162701194
Kurtosis3.435442467
Mean2.993567193
Median Absolute Deviation (MAD)0
Skewness2.00497106
Sum29783
Variance3.403456805
MonotonicityNot monotonic
2023-03-22T13:10:21.283670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5005
50.3%
2 2761
27.8%
1 1195
 
12.0%
8 841
 
8.5%
9 147
 
1.5%
ValueCountFrequency (%)
1 1195
 
12.0%
2 2761
27.8%
3 5005
50.3%
8 841
 
8.5%
9 147
 
1.5%
ValueCountFrequency (%)
9 147
 
1.5%
8 841
 
8.5%
3 5005
50.3%
2 2761
27.8%
1 1195
 
12.0%

s17
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.048145542
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:21.405752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.028494698
Coefficient of variation (CV)0.9904055431
Kurtosis4.547532209
Mean2.048145542
Median Absolute Deviation (MAD)0
Skewness2.422131771
Sum20377
Variance4.11479074
MonotonicityNot monotonic
2023-03-22T13:10:21.515015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5755
57.8%
2 2699
27.1%
8 841
 
8.5%
3 565
 
5.7%
9 89
 
0.9%
ValueCountFrequency (%)
1 5755
57.8%
2 2699
27.1%
3 565
 
5.7%
8 841
 
8.5%
9 89
 
0.9%
ValueCountFrequency (%)
9 89
 
0.9%
8 841
 
8.5%
3 565
 
5.7%
2 2699
27.1%
1 5755
57.8%

s18
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.13780279
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:21.642855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median8
Q310
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation26.76392361
Coefficient of variation (CV)1.561689321
Kurtosis3.869442206
Mean17.13780279
Median Absolute Deviation (MAD)2
Skewness2.402694438
Sum170504
Variance716.3076068
MonotonicityNot monotonic
2023-03-22T13:10:21.770303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 1950
19.6%
10 1927
19.4%
9 1231
12.4%
7 1163
11.7%
5 942
9.5%
88 841
8.5%
6 824
8.3%
4 407
 
4.1%
99 306
 
3.1%
3 192
 
1.9%
Other values (2) 166
 
1.7%
ValueCountFrequency (%)
1 78
 
0.8%
2 88
 
0.9%
3 192
 
1.9%
4 407
4.1%
5 942
9.5%
ValueCountFrequency (%)
99 306
 
3.1%
88 841
8.5%
10 1927
19.4%
9 1231
12.4%
8 1950
19.6%

s19
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.2055483
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:21.898997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q39
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.21260382
Coefficient of variation (CV)1.604598957
Kurtosis2.687619707
Mean18.2055483
Median Absolute Deviation (MAD)2
Skewness2.146342382
Sum181127
Variance853.3762217
MonotonicityNot monotonic
2023-03-22T13:10:22.027431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 1570
15.8%
5 1513
15.2%
7 1240
12.5%
6 1165
11.7%
10 1068
10.7%
9 881
8.9%
88 841
8.5%
4 590
 
5.9%
99 494
 
5.0%
3 363
 
3.6%
Other values (2) 224
 
2.3%
ValueCountFrequency (%)
1 88
 
0.9%
2 136
 
1.4%
3 363
 
3.6%
4 590
 
5.9%
5 1513
15.2%
ValueCountFrequency (%)
99 494
 
5.0%
88 841
8.5%
10 1068
10.7%
9 881
8.9%
8 1570
15.8%

s20
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7545481958
Minimum0
Maximum9
Zeros8849
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:22.150209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.321613251
Coefficient of variation (CV)3.076825661
Kurtosis6.073900561
Mean0.7545481958
Median Absolute Deviation (MAD)0
Skewness2.832500239
Sum7507
Variance5.389888087
MonotonicityNot monotonic
2023-03-22T13:10:22.249890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8849
88.9%
8 841
 
8.5%
1 194
 
1.9%
9 65
 
0.7%
ValueCountFrequency (%)
0 8849
88.9%
1 194
 
1.9%
8 841
 
8.5%
9 65
 
0.7%
ValueCountFrequency (%)
9 65
 
0.7%
8 841
 
8.5%
1 194
 
1.9%
0 8849
88.9%

s21
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7487184642
Minimum0
Maximum9
Zeros8915
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:22.356865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.323802902
Coefficient of variation (CV)3.103707219
Kurtosis6.084197008
Mean0.7487184642
Median Absolute Deviation (MAD)0
Skewness2.836284921
Sum7449
Variance5.400059928
MonotonicityNot monotonic
2023-03-22T13:10:22.456646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8915
89.6%
8 841
 
8.5%
1 127
 
1.3%
9 66
 
0.7%
ValueCountFrequency (%)
0 8915
89.6%
1 127
 
1.3%
8 841
 
8.5%
9 66
 
0.7%
ValueCountFrequency (%)
9 66
 
0.7%
8 841
 
8.5%
1 127
 
1.3%
0 8915
89.6%

s22
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9571816263
Minimum0
Maximum9
Zeros6977
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:22.563943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.318605352
Coefficient of variation (CV)2.422325385
Kurtosis5.429341882
Mean0.9571816263
Median Absolute Deviation (MAD)0
Skewness2.668735265
Sum9523
Variance5.375930777
MonotonicityNot monotonic
2023-03-22T13:10:22.663793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6977
70.1%
1 2048
 
20.6%
8 841
 
8.5%
9 83
 
0.8%
ValueCountFrequency (%)
0 6977
70.1%
1 2048
 
20.6%
8 841
 
8.5%
9 83
 
0.8%
ValueCountFrequency (%)
9 83
 
0.8%
8 841
 
8.5%
1 2048
 
20.6%
0 6977
70.1%

s23
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7794753242
Minimum0
Maximum9
Zeros8657
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:22.770922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.329643433
Coefficient of variation (CV)2.988732755
Kurtosis5.938996801
Mean0.7794753242
Median Absolute Deviation (MAD)0
Skewness2.803085649
Sum7755
Variance5.427238526
MonotonicityNot monotonic
2023-03-22T13:10:22.870582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8657
87.0%
8 841
 
8.5%
1 379
 
3.8%
9 72
 
0.7%
ValueCountFrequency (%)
0 8657
87.0%
1 379
 
3.8%
8 841
 
8.5%
9 72
 
0.7%
ValueCountFrequency (%)
9 72
 
0.7%
8 841
 
8.5%
1 379
 
3.8%
0 8657
87.0%

s24
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7987737461
Minimum0
Maximum9
Zeros8441
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:22.977886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.322577276
Coefficient of variation (CV)2.907678535
Kurtosis5.90743638
Mean0.7987737461
Median Absolute Deviation (MAD)0
Skewness2.791280733
Sum7947
Variance5.394365203
MonotonicityNot monotonic
2023-03-22T13:10:23.077513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8441
84.8%
8 841
 
8.5%
1 598
 
6.0%
9 69
 
0.7%
ValueCountFrequency (%)
0 8441
84.8%
1 598
 
6.0%
8 841
 
8.5%
9 69
 
0.7%
ValueCountFrequency (%)
9 69
 
0.7%
8 841
 
8.5%
1 598
 
6.0%
0 8441
84.8%

s25
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8841089557
Minimum0
Maximum9
Zeros7648
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:23.184717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.320937064
Coefficient of variation (CV)2.625170856
Kurtosis5.632817476
Mean0.8841089557
Median Absolute Deviation (MAD)0
Skewness2.721182253
Sum8796
Variance5.386748857
MonotonicityNot monotonic
2023-03-22T13:10:23.284323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7648
76.9%
1 1384
 
13.9%
8 841
 
8.5%
9 76
 
0.8%
ValueCountFrequency (%)
0 7648
76.9%
1 1384
 
13.9%
8 841
 
8.5%
9 76
 
0.8%
ValueCountFrequency (%)
9 76
 
0.8%
8 841
 
8.5%
1 1384
 
13.9%
0 7648
76.9%

s26
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7715348276
Minimum0
Maximum9
Zeros8760
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:23.391256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.335235998
Coefficient of variation (CV)3.026740874
Kurtosis5.938239193
Mean0.7715348276
Median Absolute Deviation (MAD)0
Skewness2.805961394
Sum7676
Variance5.453327168
MonotonicityNot monotonic
2023-03-22T13:10:23.491128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8760
88.0%
8 841
 
8.5%
1 273
 
2.7%
9 75
 
0.8%
ValueCountFrequency (%)
0 8760
88.0%
1 273
 
2.7%
8 841
 
8.5%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
8 841
 
8.5%
1 273
 
2.7%
0 8760
88.0%

s27
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7577645995
Minimum0
Maximum9
Zeros8825
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:23.598449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.322816771
Coefficient of variation (CV)3.065354033
Kurtosis6.055367131
Mean0.7577645995
Median Absolute Deviation (MAD)0
Skewness2.8285275
Sum7539
Variance5.395477753
MonotonicityNot monotonic
2023-03-22T13:10:23.698139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 8825
88.7%
8 841
 
8.5%
1 217
 
2.2%
9 66
 
0.7%
ValueCountFrequency (%)
0 8825
88.7%
1 217
 
2.2%
8 841
 
8.5%
9 66
 
0.7%
ValueCountFrequency (%)
9 66
 
0.7%
8 841
 
8.5%
1 217
 
2.2%
0 8825
88.7%

s28_1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.59593929
Minimum0
Maximum9
Zeros678
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:23.805067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.105807829
Coefficient of variation (CV)1.319478655
Kurtosis5.64596318
Mean1.59593929
Median Absolute Deviation (MAD)0
Skewness2.722893477
Sum15878
Variance4.434426613
MonotonicityNot monotonic
2023-03-22T13:10:23.905040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 8340
83.8%
8 841
 
8.5%
0 678
 
6.8%
9 90
 
0.9%
ValueCountFrequency (%)
0 678
 
6.8%
1 8340
83.8%
8 841
 
8.5%
9 90
 
0.9%
ValueCountFrequency (%)
9 90
 
0.9%
8 841
 
8.5%
1 8340
83.8%
0 678
 
6.8%

s29
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.35370389
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:24.012151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.372827261
Coefficient of variation (CV)0.7075243786
Kurtosis-0.2155302361
Mean3.35370389
Median Absolute Deviation (MAD)1
Skewness1.022784104
Sum33366
Variance5.630309209
MonotonicityNot monotonic
2023-03-22T13:10:24.126150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 2735
27.5%
1 2265
22.8%
8 1609
16.2%
3 1409
14.2%
4 1299
13.1%
5 588
 
5.9%
9 44
 
0.4%
ValueCountFrequency (%)
1 2265
22.8%
2 2735
27.5%
3 1409
14.2%
4 1299
13.1%
5 588
 
5.9%
ValueCountFrequency (%)
9 44
 
0.4%
8 1609
16.2%
5 588
 
5.9%
4 1299
13.1%
3 1409
14.2%

s30
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.757563574
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:24.249496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.920757335
Coefficient of variation (CV)0.5111709481
Kurtosis1.284148245
Mean3.757563574
Median Absolute Deviation (MAD)0
Skewness1.748281802
Sum37384
Variance3.68930874
MonotonicityNot monotonic
2023-03-22T13:10:24.358919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7705
77.4%
8 1519
 
15.3%
2 576
 
5.8%
9 102
 
1.0%
1 47
 
0.5%
ValueCountFrequency (%)
1 47
 
0.5%
2 576
 
5.8%
3 7705
77.4%
8 1519
 
15.3%
9 102
 
1.0%
ValueCountFrequency (%)
9 102
 
1.0%
8 1519
 
15.3%
3 7705
77.4%
2 576
 
5.8%
1 47
 
0.5%

s31
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.750125641
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:24.479541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.92727686
Coefficient of variation (CV)0.5139232773
Kurtosis1.267206133
Mean3.750125641
Median Absolute Deviation (MAD)0
Skewness1.736968754
Sum37310
Variance3.714396094
MonotonicityNot monotonic
2023-03-22T13:10:24.589632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7635
76.7%
8 1519
 
15.3%
2 634
 
6.4%
9 103
 
1.0%
1 58
 
0.6%
ValueCountFrequency (%)
1 58
 
0.6%
2 634
 
6.4%
3 7635
76.7%
8 1519
 
15.3%
9 103
 
1.0%
ValueCountFrequency (%)
9 103
 
1.0%
8 1519
 
15.3%
3 7635
76.7%
2 634
 
6.4%
1 58
 
0.6%

s32
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.510905619
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:24.709471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.083839506
Coefficient of variation (CV)0.5935333308
Kurtosis0.9525435929
Mean3.510905619
Median Absolute Deviation (MAD)0
Skewness1.535268922
Sum34930
Variance4.342387087
MonotonicityNot monotonic
2023-03-22T13:10:24.823586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5716
57.5%
2 2100
 
21.1%
8 1519
 
15.3%
1 512
 
5.1%
9 102
 
1.0%
ValueCountFrequency (%)
1 512
 
5.1%
2 2100
 
21.1%
3 5716
57.5%
8 1519
 
15.3%
9 102
 
1.0%
ValueCountFrequency (%)
9 102
 
1.0%
8 1519
 
15.3%
3 5716
57.5%
2 2100
 
21.1%
1 512
 
5.1%

s33
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.738968741
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:24.949506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.931504562
Coefficient of variation (CV)0.5165875128
Kurtosis1.260727255
Mean3.738968741
Median Absolute Deviation (MAD)0
Skewness1.715494354
Sum37199
Variance3.730709873
MonotonicityNot monotonic
2023-03-22T13:10:25.059198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7635
76.7%
8 1519
 
15.3%
2 571
 
5.7%
1 127
 
1.3%
9 97
 
1.0%
ValueCountFrequency (%)
1 127
 
1.3%
2 571
 
5.7%
3 7635
76.7%
8 1519
 
15.3%
9 97
 
1.0%
ValueCountFrequency (%)
9 97
 
1.0%
8 1519
 
15.3%
3 7635
76.7%
2 571
 
5.7%
1 127
 
1.3%

s34
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.743592321
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:25.179335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.96324551
Coefficient of variation (CV)0.5244282341
Kurtosis1.150425152
Mean3.743592321
Median Absolute Deviation (MAD)0
Skewness1.670297889
Sum37245
Variance3.854332932
MonotonicityNot monotonic
2023-03-22T13:10:25.295359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7513
75.5%
8 1519
 
15.3%
2 621
 
6.2%
1 169
 
1.7%
9 127
 
1.3%
ValueCountFrequency (%)
1 169
 
1.7%
2 621
 
6.2%
3 7513
75.5%
8 1519
 
15.3%
9 127
 
1.3%
ValueCountFrequency (%)
9 127
 
1.3%
8 1519
 
15.3%
3 7513
75.5%
2 621
 
6.2%
1 169
 
1.7%

s35
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.644185345
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:25.422343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.166065367
Coefficient of variation (CV)0.5943894622
Kurtosis0.6206913785
Mean3.644185345
Median Absolute Deviation (MAD)0
Skewness1.430225555
Sum36256
Variance4.691839176
MonotonicityNot monotonic
2023-03-22T13:10:25.536179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6093
61.2%
8 1519
 
15.3%
2 1496
 
15.0%
1 592
 
6.0%
9 249
 
2.5%
ValueCountFrequency (%)
1 592
 
6.0%
2 1496
 
15.0%
3 6093
61.2%
8 1519
 
15.3%
9 249
 
2.5%
ValueCountFrequency (%)
9 249
 
2.5%
8 1519
 
15.3%
3 6093
61.2%
2 1496
 
15.0%
1 592
 
6.0%

s36
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.322444467
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:25.660471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.96955104
Coefficient of variation (CV)0.8480508653
Kurtosis4.152569971
Mean2.322444467
Median Absolute Deviation (MAD)1
Skewness2.28195757
Sum23106
Variance3.879131298
MonotonicityNot monotonic
2023-03-22T13:10:25.769719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4224
42.5%
1 3640
36.6%
3 1151
 
11.6%
8 841
 
8.5%
9 93
 
0.9%
ValueCountFrequency (%)
1 3640
36.6%
2 4224
42.5%
3 1151
 
11.6%
8 841
 
8.5%
9 93
 
0.9%
ValueCountFrequency (%)
9 93
 
0.9%
8 841
 
8.5%
3 1151
 
11.6%
2 4224
42.5%
1 3640
36.6%

s37
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.351693638
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:25.889548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.999156033
Coefficient of variation (CV)0.8500920364
Kurtosis4.179936336
Mean2.351693638
Median Absolute Deviation (MAD)0
Skewness2.32507994
Sum23397
Variance3.996624845
MonotonicityNot monotonic
2023-03-22T13:10:25.998945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5115
51.4%
1 3190
32.1%
8 841
 
8.5%
3 663
 
6.7%
9 140
 
1.4%
ValueCountFrequency (%)
1 3190
32.1%
2 5115
51.4%
3 663
 
6.7%
8 841
 
8.5%
9 140
 
1.4%
ValueCountFrequency (%)
9 140
 
1.4%
8 841
 
8.5%
3 663
 
6.7%
2 5115
51.4%
1 3190
32.1%

s38
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.894562268
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:26.120167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.903914127
Coefficient of variation (CV)0.6577554571
Kurtosis3.422160429
Mean2.894562268
Median Absolute Deviation (MAD)1
Skewness2.070056865
Sum28798
Variance3.624889005
MonotonicityNot monotonic
2023-03-22T13:10:26.231716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4002
40.2%
3 3760
37.8%
1 1166
 
11.7%
8 841
 
8.5%
9 180
 
1.8%
ValueCountFrequency (%)
1 1166
 
11.7%
2 4002
40.2%
3 3760
37.8%
8 841
 
8.5%
9 180
 
1.8%
ValueCountFrequency (%)
9 180
 
1.8%
8 841
 
8.5%
3 3760
37.8%
2 4002
40.2%
1 1166
 
11.7%

s39
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.110965926
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:26.354033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.091673942
Coefficient of variation (CV)0.9908610634
Kurtosis4.146982475
Mean2.110965926
Median Absolute Deviation (MAD)0
Skewness2.35058986
Sum21002
Variance4.375099881
MonotonicityNot monotonic
2023-03-22T13:10:26.463451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5485
55.1%
2 2986
30.0%
8 841
 
8.5%
3 486
 
4.9%
9 151
 
1.5%
ValueCountFrequency (%)
1 5485
55.1%
2 2986
30.0%
3 486
 
4.9%
8 841
 
8.5%
9 151
 
1.5%
ValueCountFrequency (%)
9 151
 
1.5%
8 841
 
8.5%
3 486
 
4.9%
2 2986
30.0%
1 5485
55.1%

s40
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.827922404
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:26.583423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.837470288
Coefficient of variation (CV)0.6497597973
Kurtosis4.04646758
Mean2.827922404
Median Absolute Deviation (MAD)0
Skewness2.249235897
Sum28135
Variance3.37629706
MonotonicityNot monotonic
2023-03-22T13:10:26.697372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5121
51.5%
3 3077
30.9%
8 841
 
8.5%
1 782
 
7.9%
9 128
 
1.3%
ValueCountFrequency (%)
1 782
 
7.9%
2 5121
51.5%
3 3077
30.9%
8 841
 
8.5%
9 128
 
1.3%
ValueCountFrequency (%)
9 128
 
1.3%
8 841
 
8.5%
3 3077
30.9%
2 5121
51.5%
1 782
 
7.9%

s41
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.286561463
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:26.821618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.055424562
Coefficient of variation (CV)0.8989150719
Kurtosis3.899778866
Mean2.286561463
Median Absolute Deviation (MAD)1
Skewness2.263708248
Sum22749
Variance4.224770131
MonotonicityNot monotonic
2023-03-22T13:10:26.930801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4106
41.3%
2 4027
40.5%
8 841
 
8.5%
3 819
 
8.2%
9 156
 
1.6%
ValueCountFrequency (%)
1 4106
41.3%
2 4027
40.5%
3 819
 
8.2%
8 841
 
8.5%
9 156
 
1.6%
ValueCountFrequency (%)
9 156
 
1.6%
8 841
 
8.5%
3 819
 
8.2%
2 4027
40.5%
1 4106
41.3%

s42
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.851241331
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:27.051446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.884209381
Coefficient of variation (CV)0.6608382674
Kurtosis3.668069095
Mean2.851241331
Median Absolute Deviation (MAD)1
Skewness2.147004273
Sum28367
Variance3.550244991
MonotonicityNot monotonic
2023-03-22T13:10:27.162904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4585
46.1%
3 3329
33.5%
1 1033
 
10.4%
8 841
 
8.5%
9 161
 
1.6%
ValueCountFrequency (%)
1 1033
 
10.4%
2 4585
46.1%
3 3329
33.5%
8 841
 
8.5%
9 161
 
1.6%
ValueCountFrequency (%)
9 161
 
1.6%
8 841
 
8.5%
3 3329
33.5%
2 4585
46.1%
1 1033
 
10.4%

s43
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.458940597
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:27.285127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.950288846
Coefficient of variation (CV)0.7931419116
Kurtosis3.963977484
Mean2.458940597
Median Absolute Deviation (MAD)1
Skewness2.223731869
Sum24464
Variance3.803626582
MonotonicityNot monotonic
2023-03-22T13:10:27.401145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4586
46.1%
1 2822
28.4%
3 1593
 
16.0%
8 841
 
8.5%
9 107
 
1.1%
ValueCountFrequency (%)
1 2822
28.4%
2 4586
46.1%
3 1593
 
16.0%
8 841
 
8.5%
9 107
 
1.1%
ValueCountFrequency (%)
9 107
 
1.1%
8 841
 
8.5%
3 1593
 
16.0%
2 4586
46.1%
1 2822
28.4%

s44
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.58940597
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:27.527704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.913113787
Coefficient of variation (CV)0.7388234246
Kurtosis3.933480438
Mean2.58940597
Median Absolute Deviation (MAD)1
Skewness2.206838613
Sum25762
Variance3.660004362
MonotonicityNot monotonic
2023-03-22T13:10:27.643441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4894
49.2%
3 2068
20.8%
1 2034
20.4%
8 841
 
8.5%
9 112
 
1.1%
ValueCountFrequency (%)
1 2034
20.4%
2 4894
49.2%
3 2068
20.8%
8 841
 
8.5%
9 112
 
1.1%
ValueCountFrequency (%)
9 112
 
1.1%
8 841
 
8.5%
3 2068
20.8%
2 4894
49.2%
1 2034
20.4%

s45
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.094079807
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:27.770720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.789425819
Coefficient of variation (CV)0.5783386115
Kurtosis3.830409121
Mean3.094079807
Median Absolute Deviation (MAD)0
Skewness2.176028681
Sum30783
Variance3.202044763
MonotonicityNot monotonic
2023-03-22T13:10:30.754715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5155
51.8%
2 3349
33.7%
8 841
 
8.5%
1 443
 
4.5%
9 161
 
1.6%
ValueCountFrequency (%)
1 443
 
4.5%
2 3349
33.7%
3 5155
51.8%
8 841
 
8.5%
9 161
 
1.6%
ValueCountFrequency (%)
9 161
 
1.6%
8 841
 
8.5%
3 5155
51.8%
2 3349
33.7%
1 443
 
4.5%

s46
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.213790331
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:30.877963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.723564418
Coefficient of variation (CV)0.5363026958
Kurtosis4.103595633
Mean3.213790331
Median Absolute Deviation (MAD)0
Skewness2.245573277
Sum31974
Variance2.970674303
MonotonicityNot monotonic
2023-03-22T13:10:30.992066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6226
62.6%
2 2470
 
24.8%
8 841
 
8.5%
1 260
 
2.6%
9 152
 
1.5%
ValueCountFrequency (%)
1 260
 
2.6%
2 2470
 
24.8%
3 6226
62.6%
8 841
 
8.5%
9 152
 
1.5%
ValueCountFrequency (%)
9 152
 
1.5%
8 841
 
8.5%
3 6226
62.6%
2 2470
 
24.8%
1 260
 
2.6%

s47
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.183435521
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:31.116934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.690170921
Coefficient of variation (CV)0.5309267015
Kurtosis4.372318362
Mean3.183435521
Median Absolute Deviation (MAD)0
Skewness2.311124652
Sum31672
Variance2.856677742
MonotonicityNot monotonic
2023-03-22T13:10:31.234886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6070
61.0%
2 2744
27.6%
8 841
 
8.5%
1 175
 
1.8%
9 119
 
1.2%
ValueCountFrequency (%)
1 175
 
1.8%
2 2744
27.6%
3 6070
61.0%
8 841
 
8.5%
9 119
 
1.2%
ValueCountFrequency (%)
9 119
 
1.2%
8 841
 
8.5%
3 6070
61.0%
2 2744
27.6%
1 175
 
1.8%

s48
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.184440647
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:31.359775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.678482984
Coefficient of variation (CV)0.5270887952
Kurtosis4.432507213
Mean3.184440647
Median Absolute Deviation (MAD)0
Skewness2.315389625
Sum31682
Variance2.817305128
MonotonicityNot monotonic
2023-03-22T13:10:31.473672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6171
62.0%
2 2632
26.5%
8 841
 
8.5%
1 196
 
2.0%
9 109
 
1.1%
ValueCountFrequency (%)
1 196
 
2.0%
2 2632
26.5%
3 6171
62.0%
8 841
 
8.5%
9 109
 
1.1%
ValueCountFrequency (%)
9 109
 
1.1%
8 841
 
8.5%
3 6171
62.0%
2 2632
26.5%
1 196
 
2.0%

s49
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.160619158
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:31.598454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.700047617
Coefficient of variation (CV)0.5378843614
Kurtosis4.314444042
Mean3.160619158
Median Absolute Deviation (MAD)0
Skewness2.287895724
Sum31445
Variance2.8901619
MonotonicityNot monotonic
2023-03-22T13:10:31.712042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5913
59.4%
2 2847
28.6%
8 841
 
8.5%
1 231
 
2.3%
9 117
 
1.2%
ValueCountFrequency (%)
1 231
 
2.3%
2 2847
28.6%
3 5913
59.4%
8 841
 
8.5%
9 117
 
1.2%
ValueCountFrequency (%)
9 117
 
1.2%
8 841
 
8.5%
3 5913
59.4%
2 2847
28.6%
1 231
 
2.3%

s50
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.024625591
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:31.836344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.766045025
Coefficient of variation (CV)0.5838888062
Kurtosis4.069245128
Mean3.024625591
Median Absolute Deviation (MAD)1
Skewness2.22796196
Sum30092
Variance3.118915031
MonotonicityNot monotonic
2023-03-22T13:10:31.945621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4728
47.5%
2 3816
38.4%
8 841
 
8.5%
1 441
 
4.4%
9 123
 
1.2%
ValueCountFrequency (%)
1 441
 
4.4%
2 3816
38.4%
3 4728
47.5%
8 841
 
8.5%
9 123
 
1.2%
ValueCountFrequency (%)
9 123
 
1.2%
8 841
 
8.5%
3 4728
47.5%
2 3816
38.4%
1 441
 
4.4%

s51
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.046939391
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:32.065639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.791535051
Coefficient of variation (CV)0.5879785651
Kurtosis3.873063704
Mean3.046939391
Median Absolute Deviation (MAD)1
Skewness2.18074039
Sum30314
Variance3.209597839
MonotonicityNot monotonic
2023-03-22T13:10:32.177007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4848
48.7%
2 3606
36.2%
8 841
 
8.5%
1 507
 
5.1%
9 147
 
1.5%
ValueCountFrequency (%)
1 507
 
5.1%
2 3606
36.2%
3 4848
48.7%
8 841
 
8.5%
9 147
 
1.5%
ValueCountFrequency (%)
9 147
 
1.5%
8 841
 
8.5%
3 4848
48.7%
2 3606
36.2%
1 507
 
5.1%

s52
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.14493919
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:32.299278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.723352394
Coefficient of variation (CV)0.5479763805
Kurtosis4.208946698
Mean3.14493919
Median Absolute Deviation (MAD)0
Skewness2.277502687
Sum31289
Variance2.969943475
MonotonicityNot monotonic
2023-03-22T13:10:32.410668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5632
56.6%
2 3133
31.5%
8 841
 
8.5%
1 211
 
2.1%
9 132
 
1.3%
ValueCountFrequency (%)
1 211
 
2.1%
2 3133
31.5%
3 5632
56.6%
8 841
 
8.5%
9 132
 
1.3%
ValueCountFrequency (%)
9 132
 
1.3%
8 841
 
8.5%
3 5632
56.6%
2 3133
31.5%
1 211
 
2.1%

s53
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.088953664
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:32.532810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.793923645
Coefficient of variation (CV)0.580754469
Kurtosis3.847248523
Mean3.088953664
Median Absolute Deviation (MAD)0
Skewness2.19650761
Sum30732
Variance3.218162043
MonotonicityNot monotonic
2023-03-22T13:10:32.644075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4986
50.1%
2 3588
36.1%
8 841
 
8.5%
1 367
 
3.7%
9 167
 
1.7%
ValueCountFrequency (%)
1 367
 
3.7%
2 3588
36.1%
3 4986
50.1%
8 841
 
8.5%
9 167
 
1.7%
ValueCountFrequency (%)
9 167
 
1.7%
8 841
 
8.5%
3 4986
50.1%
2 3588
36.1%
1 367
 
3.7%

s54
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.108453111
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:32.766277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.823041416
Coefficient of variation (CV)0.5864786604
Kurtosis3.622398394
Mean3.108453111
Median Absolute Deviation (MAD)0
Skewness2.134992305
Sum30926
Variance3.323480005
MonotonicityNot monotonic
2023-03-22T13:10:32.877660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5120
51.5%
2 3314
33.3%
8 841
 
8.5%
1 482
 
4.8%
9 192
 
1.9%
ValueCountFrequency (%)
1 482
 
4.8%
2 3314
33.3%
3 5120
51.5%
8 841
 
8.5%
9 192
 
1.9%
ValueCountFrequency (%)
9 192
 
1.9%
8 841
 
8.5%
3 5120
51.5%
2 3314
33.3%
1 482
 
4.8%

t1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7608804905
Minimum0
Maximum9
Zeros2915
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:33.001133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.816627976
Coefficient of variation (CV)1.073267072
Kurtosis67.05282369
Mean0.7608804905
Median Absolute Deviation (MAD)0
Skewness6.698767262
Sum7570
Variance0.6668812512
MonotonicityNot monotonic
2023-03-22T13:10:33.101843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6967
70.0%
0 2915
29.3%
9 67
 
0.7%
ValueCountFrequency (%)
0 2915
29.3%
1 6967
70.0%
9 67
 
0.7%
ValueCountFrequency (%)
9 67
 
0.7%
1 6967
70.0%
0 2915
29.3%

t2
Real number (ℝ)

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.54698965
Minimum0
Maximum99
Zeros33
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:33.238192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)86

Descriptive statistics

Standard deviation39.10149547
Coefficient of variation (CV)1.323366473
Kurtosis-1.303986051
Mean29.54698965
Median Absolute Deviation (MAD)3
Skewness0.8207972622
Sum293963
Variance1528.926948
MonotonicityNot monotonic
2023-03-22T13:10:33.402020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
88 2982
30.0%
2 1658
16.7%
1 1558
15.7%
3 1217
12.2%
4 748
 
7.5%
5 560
 
5.6%
6 388
 
3.9%
7 190
 
1.9%
8 153
 
1.5%
10 88
 
0.9%
Other values (32) 407
 
4.1%
ValueCountFrequency (%)
0 33
 
0.3%
1 1558
15.7%
2 1658
16.7%
3 1217
12.2%
4 748
7.5%
ValueCountFrequency (%)
99 50
 
0.5%
88 2982
30.0%
84 4
 
< 0.1%
80 1
 
< 0.1%
70 11
 
0.1%

t3
Real number (ℝ)

Distinct222
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31152.03518
Minimum0
Maximum99999
Zeros2666
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:33.572854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)88888

Descriptive statistics

Standard deviation42667.49541
Coefficient of variation (CV)1.369653545
Kurtosis-1.559607648
Mean31152.03518
Median Absolute Deviation (MAD)135
Skewness0.652618441
Sum309931598
Variance1820515165
MonotonicityNot monotonic
2023-03-22T13:10:33.749059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 2982
30.0%
0 2666
26.8%
99999 343
 
3.4%
100 311
 
3.1%
200 304
 
3.1%
50 262
 
2.6%
150 195
 
2.0%
300 195
 
2.0%
20 139
 
1.4%
30 138
 
1.4%
Other values (212) 2414
24.3%
ValueCountFrequency (%)
0 2666
26.8%
1 8
 
0.1%
2 12
 
0.1%
3 11
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
99999 343
 
3.4%
88888 2982
30.0%
77777 128
 
1.3%
3000 1
 
< 0.1%
2000 3
 
< 0.1%

t4
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.35450799
Minimum0
Maximum99
Zeros2812
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:33.904277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)88

Descriptive statistics

Standard deviation40.27160833
Coefficient of variation (CV)1.37190541
Kurtosis-1.359620371
Mean29.35450799
Median Absolute Deviation (MAD)3
Skewness0.7880748903
Sum292048
Variance1621.802438
MonotonicityNot monotonic
2023-03-22T13:10:34.039493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
88 2982
30.0%
0 2812
28.3%
1 1082
 
10.9%
2 795
 
8.0%
3 528
 
5.3%
5 502
 
5.0%
4 331
 
3.3%
6 308
 
3.1%
7 166
 
1.7%
99 156
 
1.6%
Other values (10) 287
 
2.9%
ValueCountFrequency (%)
0 2812
28.3%
1 1082
 
10.9%
2 795
 
8.0%
3 528
 
5.3%
4 331
 
3.3%
ValueCountFrequency (%)
99 156
 
1.6%
88 2982
30.0%
49 1
 
< 0.1%
22 24
 
0.2%
16 1
 
< 0.1%

t5
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.374811539
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:34.162214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.179228166
Coefficient of variation (CV)0.942046135
Kurtosis-1.383296721
Mean3.374811539
Median Absolute Deviation (MAD)0
Skewness0.7386805475
Sum33576
Variance10.10749173
MonotonicityNot monotonic
2023-03-22T13:10:34.277585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5578
56.1%
8 2982
30.0%
2 911
 
9.2%
3 225
 
2.3%
9 94
 
0.9%
6 71
 
0.7%
4 67
 
0.7%
5 21
 
0.2%
ValueCountFrequency (%)
1 5578
56.1%
2 911
 
9.2%
3 225
 
2.3%
4 67
 
0.7%
5 21
 
0.2%
ValueCountFrequency (%)
9 94
 
0.9%
8 2982
30.0%
6 71
 
0.7%
5 21
 
0.2%
4 67
 
0.7%

t6
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.344758267
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:34.402845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.271513791
Coefficient of variation (CV)0.9781017132
Kurtosis-1.41791249
Mean3.344758267
Median Absolute Deviation (MAD)0
Skewness0.7364520297
Sum33277
Variance10.70280249
MonotonicityNot monotonic
2023-03-22T13:10:34.518748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 6300
63.3%
8 2982
30.0%
2 257
 
2.6%
9 206
 
2.1%
3 108
 
1.1%
4 51
 
0.5%
5 45
 
0.5%
ValueCountFrequency (%)
1 6300
63.3%
2 257
 
2.6%
3 108
 
1.1%
4 51
 
0.5%
5 45
 
0.5%
ValueCountFrequency (%)
9 206
 
2.1%
8 2982
30.0%
5 45
 
0.5%
4 51
 
0.5%
3 108
 
1.1%

t7
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.502462559
Minimum0
Maximum8
Zeros6241
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:34.646227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.617953124
Coefficient of variation (CV)1.445757145
Kurtosis-1.256959267
Mean2.502462559
Median Absolute Deviation (MAD)0
Skewness0.8412127564
Sum24897
Variance13.08958481
MonotonicityNot monotonic
2023-03-22T13:10:34.761336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 6241
62.7%
8 2982
30.0%
1 411
 
4.1%
2 315
 
3.2%
ValueCountFrequency (%)
0 6241
62.7%
1 411
 
4.1%
2 315
 
3.2%
8 2982
30.0%
ValueCountFrequency (%)
8 2982
30.0%
2 315
 
3.2%
1 411
 
4.1%
0 6241
62.7%

u1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2440446276
Minimum0
Maximum9
Zeros8057
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:34.886022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8181851775
Coefficient of variation (CV)3.352604749
Kurtosis85.53041366
Mean0.2440446276
Median Absolute Deviation (MAD)0
Skewness8.379466191
Sum2428
Variance0.6694269847
MonotonicityNot monotonic
2023-03-22T13:10:34.986448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8057
81.0%
1 1825
 
18.3%
9 67
 
0.7%
ValueCountFrequency (%)
0 8057
81.0%
1 1825
 
18.3%
9 67
 
0.7%
ValueCountFrequency (%)
9 67
 
0.7%
1 1825
 
18.3%
0 8057
81.0%

u2
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.231581063
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:35.094038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.663319031
Coefficient of variation (CV)0.230007659
Kurtosis1.682185318
Mean7.231581063
Median Absolute Deviation (MAD)0
Skewness-1.805324194
Sum71947
Variance2.7666302
MonotonicityNot monotonic
2023-03-22T13:10:35.204835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 8124
81.7%
4 1568
 
15.8%
3 95
 
1.0%
2 84
 
0.8%
1 59
 
0.6%
9 19
 
0.2%
ValueCountFrequency (%)
1 59
 
0.6%
2 84
 
0.8%
3 95
 
1.0%
4 1568
 
15.8%
8 8124
81.7%
ValueCountFrequency (%)
9 19
 
0.2%
8 8124
81.7%
4 1568
 
15.8%
3 95
 
1.0%
2 84
 
0.8%

u3
Real number (ℝ)

Distinct312
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76298.30998
Minimum0
Maximum99999
Zeros76
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:35.361640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile200
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31503.4391
Coefficient of variation (CV)0.4128982557
Kurtosis1.933565154
Mean76298.30998
Median Absolute Deviation (MAD)0
Skewness-1.972259955
Sum759091886
Variance992466675.3
MonotonicityNot monotonic
2023-03-22T13:10:35.533358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 8124
81.7%
99999 360
 
3.6%
0 76
 
0.8%
600 68
 
0.7%
300 60
 
0.6%
150 59
 
0.6%
200 51
 
0.5%
400 51
 
0.5%
1200 47
 
0.5%
700 40
 
0.4%
Other values (302) 1013
 
10.2%
ValueCountFrequency (%)
0 76
0.8%
1 2
 
< 0.1%
3 1
 
< 0.1%
12 2
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
99999 360
 
3.6%
88888 8124
81.7%
9999 10
 
0.1%
6800 1
 
< 0.1%
4990 1
 
< 0.1%

u4
Real number (ℝ)

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.00211076
Minimum0
Maximum99
Zeros140
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:35.686893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.15140883
Coefficient of variation (CV)0.4020074705
Kurtosis1.40174854
Mean75.00211076
Median Absolute Deviation (MAD)0
Skewness-1.829442922
Sum746196
Variance909.1074543
MonotonicityNot monotonic
2023-03-22T13:10:35.823210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
88 8124
81.7%
99 202
 
2.0%
13 172
 
1.7%
1 158
 
1.6%
0 140
 
1.4%
5 124
 
1.2%
6 119
 
1.2%
9 113
 
1.1%
7 105
 
1.1%
4 102
 
1.0%
Other values (14) 590
 
5.9%
ValueCountFrequency (%)
0 140
1.4%
1 158
1.6%
2 97
1.0%
3 81
0.8%
4 102
1.0%
ValueCountFrequency (%)
99 202
 
2.0%
88 8124
81.7%
40 1
 
< 0.1%
22 10
 
0.1%
19 1
 
< 0.1%

u5
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.022012263
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:35.946641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.16740529
Coefficient of variation (CV)0.3086587161
Kurtosis1.748961454
Mean7.022012263
Median Absolute Deviation (MAD)0
Skewness-1.880797809
Sum69862
Variance4.697645689
MonotonicityNot monotonic
2023-03-22T13:10:36.061113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 8124
81.7%
2 994
 
10.0%
1 274
 
2.8%
4 180
 
1.8%
5 179
 
1.8%
3 91
 
0.9%
6 55
 
0.6%
7 39
 
0.4%
9 13
 
0.1%
ValueCountFrequency (%)
1 274
 
2.8%
2 994
10.0%
3 91
 
0.9%
4 180
 
1.8%
5 179
 
1.8%
ValueCountFrequency (%)
9 13
 
0.1%
8 8124
81.7%
7 39
 
0.4%
6 55
 
0.6%
5 179
 
1.8%

u6
Real number (ℝ)

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.707608805
Minimum0
Maximum99
Zeros2468
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:36.207917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation19.11711423
Coefficient of variation (CV)2.850063978
Kurtosis18.49599238
Mean6.707608805
Median Absolute Deviation (MAD)2
Skewness4.447301553
Sum66734
Variance365.4640565
MonotonicityNot monotonic
2023-03-22T13:10:36.362627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2468
24.8%
1 1711
17.2%
2 1596
16.0%
3 1063
10.7%
4 825
 
8.3%
5 518
 
5.2%
6 456
 
4.6%
99 392
 
3.9%
10 259
 
2.6%
12 224
 
2.3%
Other values (25) 437
 
4.4%
ValueCountFrequency (%)
0 2468
24.8%
1 1711
17.2%
2 1596
16.0%
3 1063
10.7%
4 825
 
8.3%
ValueCountFrequency (%)
99 392
3.9%
80 1
 
< 0.1%
70 1
 
< 0.1%
60 2
 
< 0.1%
52 1
 
< 0.1%

u7
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.707709318
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:36.495807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.78592192
Coefficient of variation (CV)0.7513862824
Kurtosis-1.192765388
Mean3.707709318
Median Absolute Deviation (MAD)0
Skewness0.8296360945
Sum36888
Variance7.761360946
MonotonicityNot monotonic
2023-03-22T13:10:36.612004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 5480
55.1%
8 2860
28.7%
1 1096
 
11.0%
3 228
 
2.3%
4 189
 
1.9%
5 88
 
0.9%
9 8
 
0.1%
ValueCountFrequency (%)
1 1096
 
11.0%
2 5480
55.1%
3 228
 
2.3%
4 189
 
1.9%
5 88
 
0.9%
ValueCountFrequency (%)
9 8
 
0.1%
8 2860
28.7%
5 88
 
0.9%
4 189
 
1.9%
3 228
 
2.3%

u8
Real number (ℝ)

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.40054277
Minimum0
Maximum99
Zeros2407
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:36.760278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)87

Descriptive statistics

Standard deviation39.37140387
Coefficient of variation (CV)1.436884087
Kurtosis-1.185283469
Mean27.40054277
Median Absolute Deviation (MAD)2
Skewness0.8924821926
Sum272608
Variance1550.107442
MonotonicityNot monotonic
2023-03-22T13:10:36.911176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 2860
28.7%
0 2407
24.2%
1 1542
15.5%
2 1216
12.2%
3 596
 
6.0%
4 447
 
4.5%
5 263
 
2.6%
6 188
 
1.9%
10 94
 
0.9%
12 90
 
0.9%
Other values (22) 246
 
2.5%
ValueCountFrequency (%)
0 2407
24.2%
1 1542
15.5%
2 1216
12.2%
3 596
 
6.0%
4 447
 
4.5%
ValueCountFrequency (%)
99 65
 
0.7%
88 2860
28.7%
60 2
 
< 0.1%
50 1
 
< 0.1%
48 2
 
< 0.1%

u9
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.59835159
Minimum0
Maximum99
Zeros6785
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:37.052703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)88

Descriptive statistics

Standard deviation39.90566506
Coefficient of variation (CV)1.558915422
Kurtosis-1.137953992
Mean25.59835159
Median Absolute Deviation (MAD)0
Skewness0.9272092935
Sum254678
Variance1592.462104
MonotonicityNot monotonic
2023-03-22T13:10:37.186425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6785
68.2%
88 2860
28.7%
1 129
 
1.3%
2 55
 
0.6%
3 31
 
0.3%
99 21
 
0.2%
12 20
 
0.2%
4 13
 
0.1%
6 12
 
0.1%
5 9
 
0.1%
Other values (7) 14
 
0.1%
ValueCountFrequency (%)
0 6785
68.2%
1 129
 
1.3%
2 55
 
0.6%
3 31
 
0.3%
4 13
 
0.1%
ValueCountFrequency (%)
99 21
 
0.2%
88 2860
28.7%
36 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

u10
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.649713539
Minimum0
Maximum9
Zeros4901
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:37.311239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.228279387
Coefficient of variation (CV)1.890493754
Kurtosis35.07004858
Mean0.649713539
Median Absolute Deviation (MAD)1
Skewness5.530045727
Sum6464
Variance1.508670254
MonotonicityNot monotonic
2023-03-22T13:10:37.412750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 4901
49.3%
1 4871
49.0%
9 177
 
1.8%
ValueCountFrequency (%)
0 4901
49.3%
1 4871
49.0%
9 177
 
1.8%
ValueCountFrequency (%)
9 177
 
1.8%
1 4871
49.0%
0 4901
49.3%

u11
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.028545582
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:37.519531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.077015279
Coefficient of variation (CV)0.6119095926
Kurtosis-1.963831509
Mean5.028545582
Median Absolute Deviation (MAD)0
Skewness-0.07535279908
Sum50029
Variance9.468023025
MonotonicityNot monotonic
2023-03-22T13:10:37.629729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 5078
51.0%
2 4206
42.3%
1 624
 
6.3%
9 41
 
0.4%
ValueCountFrequency (%)
1 624
 
6.3%
2 4206
42.3%
8 5078
51.0%
9 41
 
0.4%
ValueCountFrequency (%)
9 41
 
0.4%
8 5078
51.0%
2 4206
42.3%
1 624
 
6.3%

u12
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.453412403
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:37.751695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.576798781
Coefficient of variation (CV)0.6426961806
Kurtosis8.270207401
Mean2.453412403
Median Absolute Deviation (MAD)1
Skewness2.544818668
Sum24409
Variance2.486294396
MonotonicityNot monotonic
2023-03-22T13:10:37.865483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 3654
36.7%
3 2521
25.3%
1 2466
24.8%
4 940
 
9.4%
9 368
 
3.7%
ValueCountFrequency (%)
1 2466
24.8%
2 3654
36.7%
3 2521
25.3%
4 940
 
9.4%
9 368
 
3.7%
ValueCountFrequency (%)
9 368
 
3.7%
4 940
 
9.4%
3 2521
25.3%
2 3654
36.7%
1 2466
24.8%

u13
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.825208564
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:37.990108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.798310361
Coefficient of variation (CV)0.6365230461
Kurtosis4.719611378
Mean2.825208564
Median Absolute Deviation (MAD)1
Skewness1.966288006
Sum28108
Variance3.233920154
MonotonicityNot monotonic
2023-03-22T13:10:38.099695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 2679
26.9%
2 2542
25.6%
1 2195
22.1%
4 2001
20.1%
9 532
 
5.3%
ValueCountFrequency (%)
1 2195
22.1%
2 2542
25.6%
3 2679
26.9%
4 2001
20.1%
9 532
 
5.3%
ValueCountFrequency (%)
9 532
 
5.3%
4 2001
20.1%
3 2679
26.9%
2 2542
25.6%
1 2195
22.1%

u14
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16303146
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:38.221159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8688816
Coefficient of variation (CV)0.5908514104
Kurtosis3.571133181
Mean3.16303146
Median Absolute Deviation (MAD)1
Skewness1.724415904
Sum31469
Variance3.492718433
MonotonicityNot monotonic
2023-03-22T13:10:38.333152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 3032
30.5%
3 2535
25.5%
2 2138
21.5%
1 1592
16.0%
9 652
 
6.6%
ValueCountFrequency (%)
1 1592
16.0%
2 2138
21.5%
3 2535
25.5%
4 3032
30.5%
9 652
 
6.6%
ValueCountFrequency (%)
9 652
 
6.6%
4 3032
30.5%
3 2535
25.5%
2 2138
21.5%
1 1592
16.0%

u15
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.212182129
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:38.456032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.537465484
Coefficient of variation (CV)0.4786358375
Kurtosis4.681312942
Mean3.212182129
Median Absolute Deviation (MAD)1
Skewness1.436203163
Sum31958
Variance2.363800113
MonotonicityNot monotonic
2023-03-22T13:10:38.569912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 4416
44.4%
3 2133
21.4%
2 1719
 
17.3%
1 1334
 
13.4%
9 347
 
3.5%
ValueCountFrequency (%)
1 1334
 
13.4%
2 1719
 
17.3%
3 2133
21.4%
4 4416
44.4%
9 347
 
3.5%
ValueCountFrequency (%)
9 347
 
3.5%
4 4416
44.4%
3 2133
21.4%
2 1719
 
17.3%
1 1334
 
13.4%

u16
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.480349784
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:38.694595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.65389381
Coefficient of variation (CV)0.6667986188
Kurtosis7.601003706
Mean2.480349784
Median Absolute Deviation (MAD)1
Skewness2.521735365
Sum24677
Variance2.735364735
MonotonicityNot monotonic
2023-03-22T13:10:38.808570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 3704
37.2%
1 2475
24.9%
3 2421
24.3%
4 922
 
9.3%
9 427
 
4.3%
ValueCountFrequency (%)
1 2475
24.9%
2 3704
37.2%
3 2421
24.3%
4 922
 
9.3%
9 427
 
4.3%
ValueCountFrequency (%)
9 427
 
4.3%
4 922
 
9.3%
3 2421
24.3%
2 3704
37.2%
1 2475
24.9%

u17
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011458438
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:38.932916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.590542191
Coefficient of variation (CV)0.7907407684
Kurtosis11.40517165
Mean2.011458438
Median Absolute Deviation (MAD)1
Skewness3.217011709
Sum20012
Variance2.529824461
MonotonicityNot monotonic
2023-03-22T13:10:39.042221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4244
42.7%
2 3930
39.5%
3 1092
 
11.0%
9 380
 
3.8%
4 303
 
3.0%
ValueCountFrequency (%)
1 4244
42.7%
2 3930
39.5%
3 1092
 
11.0%
4 303
 
3.0%
9 380
 
3.8%
ValueCountFrequency (%)
9 380
 
3.8%
4 303
 
3.0%
3 1092
 
11.0%
2 3930
39.5%
1 4244
42.7%

u18
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.967835963
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:39.162200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.57845706
Coefficient of variation (CV)0.8021283731
Kurtosis11.86053954
Mean1.967835963
Median Absolute Deviation (MAD)1
Skewness3.283879264
Sum19578
Variance2.49152669
MonotonicityNot monotonic
2023-03-22T13:10:39.271581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4480
45.0%
2 3822
38.4%
3 989
 
9.9%
9 371
 
3.7%
4 287
 
2.9%
ValueCountFrequency (%)
1 4480
45.0%
2 3822
38.4%
3 989
 
9.9%
4 287
 
2.9%
9 371
 
3.7%
ValueCountFrequency (%)
9 371
 
3.7%
4 287
 
2.9%
3 989
 
9.9%
2 3822
38.4%
1 4480
45.0%

u19
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.101417228
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:39.391638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.759535741
Coefficient of variation (CV)0.8373090874
Kurtosis8.477211655
Mean2.101417228
Median Absolute Deviation (MAD)1
Skewness2.855864554
Sum20907
Variance3.095966025
MonotonicityNot monotonic
2023-03-22T13:10:39.500865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4457
44.8%
2 3360
33.8%
3 1183
 
11.9%
9 477
 
4.8%
4 472
 
4.7%
ValueCountFrequency (%)
1 4457
44.8%
2 3360
33.8%
3 1183
 
11.9%
4 472
 
4.7%
9 477
 
4.8%
ValueCountFrequency (%)
9 477
 
4.8%
4 472
 
4.7%
3 1183
 
11.9%
2 3360
33.8%
1 4457
44.8%

u20
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.039099407
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:39.621252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.564257948
Coefficient of variation (CV)0.7671317753
Kurtosis11.87083496
Mean2.039099407
Median Absolute Deviation (MAD)1
Skewness3.270654676
Sum20287
Variance2.446902928
MonotonicityNot monotonic
2023-03-22T13:10:39.731120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4321
43.4%
1 3876
39.0%
3 1104
 
11.1%
9 373
 
3.7%
4 275
 
2.8%
ValueCountFrequency (%)
1 3876
39.0%
2 4321
43.4%
3 1104
 
11.1%
4 275
 
2.8%
9 373
 
3.7%
ValueCountFrequency (%)
9 373
 
3.7%
4 275
 
2.8%
3 1104
 
11.1%
2 4321
43.4%
1 3876
39.0%

u21
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.911146849
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:39.851199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.661051674
Coefficient of variation (CV)0.570583265
Kurtosis4.83244055
Mean2.911146849
Median Absolute Deviation (MAD)1
Skewness1.779002985
Sum28963
Variance2.759092663
MonotonicityNot monotonic
2023-03-22T13:10:39.963036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 2859
28.7%
2 2451
24.6%
3 2357
23.7%
1 1873
18.8%
9 409
 
4.1%
ValueCountFrequency (%)
1 1873
18.8%
2 2451
24.6%
3 2357
23.7%
4 2859
28.7%
9 409
 
4.1%
ValueCountFrequency (%)
9 409
 
4.1%
4 2859
28.7%
3 2357
23.7%
2 2451
24.6%
1 1873
18.8%

u22
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.097999799
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:40.085557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.673051207
Coefficient of variation (CV)0.7974506041
Kurtosis9.213725178
Mean2.097999799
Median Absolute Deviation (MAD)1
Skewness2.895241129
Sum20873
Variance2.799100341
MonotonicityNot monotonic
2023-03-22T13:10:40.195039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4259
42.8%
2 3485
35.0%
3 1241
 
12.5%
4 551
 
5.5%
9 413
 
4.2%
ValueCountFrequency (%)
1 4259
42.8%
2 3485
35.0%
3 1241
 
12.5%
4 551
 
5.5%
9 413
 
4.2%
ValueCountFrequency (%)
9 413
 
4.2%
4 551
 
5.5%
3 1241
 
12.5%
2 3485
35.0%
1 4259
42.8%

u23
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.081616243
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:40.315309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.604606345
Coefficient of variation (CV)0.7708463796
Kurtosis10.23263244
Mean2.081616243
Median Absolute Deviation (MAD)1
Skewness3.004722107
Sum20710
Variance2.574761521
MonotonicityNot monotonic
2023-03-22T13:10:40.424680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4070
40.9%
2 3736
37.6%
3 1279
 
12.9%
4 489
 
4.9%
9 375
 
3.8%
ValueCountFrequency (%)
1 4070
40.9%
2 3736
37.6%
3 1279
 
12.9%
4 489
 
4.9%
9 375
 
3.8%
ValueCountFrequency (%)
9 375
 
3.8%
4 489
 
4.9%
3 1279
 
12.9%
2 3736
37.6%
1 4070
40.9%

u24
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.669212986
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:40.544585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.017524249
Coefficient of variation (CV)0.7558498551
Kurtosis4.206073813
Mean2.669212986
Median Absolute Deviation (MAD)1
Skewness2.114208201
Sum26556
Variance4.070404095
MonotonicityNot monotonic
2023-03-22T13:10:40.660301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 3392
34.1%
1 2733
27.5%
3 1872
18.8%
4 1229
 
12.4%
9 723
 
7.3%
ValueCountFrequency (%)
1 2733
27.5%
2 3392
34.1%
3 1872
18.8%
4 1229
 
12.4%
9 723
 
7.3%
ValueCountFrequency (%)
9 723
 
7.3%
4 1229
 
12.4%
3 1872
18.8%
2 3392
34.1%
1 2733
27.5%

u25
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.003115891
Minimum0
Maximum9
Zeros2803
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:40.786928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.940792631
Coefficient of variation (CV)1.468109082
Kurtosis0.8239649193
Mean2.003115891
Median Absolute Deviation (MAD)0
Skewness1.624875202
Sum19929
Variance8.648261299
MonotonicityNot monotonic
2023-03-22T13:10:40.886868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5387
54.1%
0 2803
28.2%
8 1289
 
13.0%
9 470
 
4.7%
ValueCountFrequency (%)
0 2803
28.2%
1 5387
54.1%
8 1289
 
13.0%
9 470
 
4.7%
ValueCountFrequency (%)
9 470
 
4.7%
8 1289
 
13.0%
1 5387
54.1%
0 2803
28.2%

u26
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.022916876
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:40.992673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.214129585
Coefficient of variation (CV)0.7324480545
Kurtosis1.519309392
Mean3.022916876
Median Absolute Deviation (MAD)1
Skewness1.55365919
Sum30075
Variance4.902369818
MonotonicityNot monotonic
2023-03-22T13:10:41.105562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3071
30.9%
1 2314
23.3%
3 1887
19.0%
4 1478
14.9%
8 745
 
7.5%
9 454
 
4.6%
ValueCountFrequency (%)
1 2314
23.3%
2 3071
30.9%
3 1887
19.0%
4 1478
14.9%
8 745
 
7.5%
ValueCountFrequency (%)
9 454
 
4.6%
8 745
 
7.5%
4 1478
14.9%
3 1887
19.0%
2 3071
30.9%

u27
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.873052568
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:41.227661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.656422034
Coefficient of variation (CV)0.8843435911
Kurtosis12.39141942
Mean1.873052568
Median Absolute Deviation (MAD)0
Skewness3.510263377
Sum18635
Variance2.743733956
MonotonicityNot monotonic
2023-03-22T13:10:41.335746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5014
50.4%
2 3854
38.7%
3 636
 
6.4%
9 445
 
4.5%
ValueCountFrequency (%)
1 5014
50.4%
2 3854
38.7%
3 636
 
6.4%
9 445
 
4.5%
ValueCountFrequency (%)
9 445
 
4.5%
3 636
 
6.4%
2 3854
38.7%
1 5014
50.4%

u28
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.859784903
Minimum0
Maximum9
Zeros3723
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:41.456431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.492219465
Coefficient of variation (CV)1.735573002
Kurtosis22.9602263
Mean0.859784903
Median Absolute Deviation (MAD)0
Skewness4.678462096
Sum8554
Variance2.226718932
MonotonicityNot monotonic
2023-03-22T13:10:41.557039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5935
59.7%
0 3723
37.4%
9 291
 
2.9%
ValueCountFrequency (%)
0 3723
37.4%
1 5935
59.7%
9 291
 
2.9%
ValueCountFrequency (%)
9 291
 
2.9%
1 5935
59.7%
0 3723
37.4%

u29
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8580761886
Minimum0
Maximum9
Zeros3660
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:41.665679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.468185723
Coefficient of variation (CV)1.711020237
Kurtosis23.77318794
Mean0.8580761886
Median Absolute Deviation (MAD)0
Skewness4.745406538
Sum8537
Variance2.155569318
MonotonicityNot monotonic
2023-03-22T13:10:41.766277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6008
60.4%
0 3660
36.8%
9 281
 
2.8%
ValueCountFrequency (%)
0 3660
36.8%
1 6008
60.4%
9 281
 
2.8%
ValueCountFrequency (%)
9 281
 
2.8%
1 6008
60.4%
0 3660
36.8%

u30
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6373504875
Minimum0
Maximum9
Zeros5792
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:41.874563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.485608503
Coefficient of variation (CV)2.330912948
Kurtosis24.59086023
Mean0.6373504875
Median Absolute Deviation (MAD)0
Skewness4.855599179
Sum6341
Variance2.207032626
MonotonicityNot monotonic
2023-03-22T13:10:41.975035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5792
58.2%
1 3884
39.0%
9 273
 
2.7%
ValueCountFrequency (%)
0 5792
58.2%
1 3884
39.0%
9 273
 
2.7%
ValueCountFrequency (%)
9 273
 
2.7%
1 3884
39.0%
0 5792
58.2%

u31
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6345361343
Minimum0
Maximum9
Zeros5804
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:42.083291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.480987041
Coefficient of variation (CV)2.333968014
Kurtosis24.76941723
Mean0.6345361343
Median Absolute Deviation (MAD)0
Skewness4.870584234
Sum6313
Variance2.193322616
MonotonicityNot monotonic
2023-03-22T13:10:42.185971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5804
58.3%
1 3874
38.9%
9 271
 
2.7%
ValueCountFrequency (%)
0 5804
58.3%
1 3874
38.9%
9 271
 
2.7%
ValueCountFrequency (%)
9 271
 
2.7%
1 3874
38.9%
0 5804
58.3%

u32
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3264649714
Minimum0
Maximum9
Zeros8325
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:42.294059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.299672169
Coefficient of variation (CV)3.981046307
Kurtosis37.51427185
Mean0.3264649714
Median Absolute Deviation (MAD)0
Skewness6.07306751
Sum3248
Variance1.689147746
MonotonicityNot monotonic
2023-03-22T13:10:42.394295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8325
83.7%
1 1421
 
14.3%
9 203
 
2.0%
ValueCountFrequency (%)
0 8325
83.7%
1 1421
 
14.3%
9 203
 
2.0%
ValueCountFrequency (%)
9 203
 
2.0%
1 1421
 
14.3%
0 8325
83.7%

u33
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.8900392
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:42.508432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.88044416
Coefficient of variation (CV)0.3937334132
Kurtosis2.246087093
Mean75.8900392
Median Absolute Deviation (MAD)0
Skewness-2.058929502
Sum755030
Variance892.8409432
MonotonicityNot monotonic
2023-03-22T13:10:42.628103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
88 8528
85.7%
1 710
 
7.1%
2 342
 
3.4%
4 96
 
1.0%
5 92
 
0.9%
6 80
 
0.8%
9 36
 
0.4%
3 32
 
0.3%
7 19
 
0.2%
99 13
 
0.1%
ValueCountFrequency (%)
1 710
7.1%
2 342
3.4%
3 32
 
0.3%
4 96
 
1.0%
5 92
 
0.9%
ValueCountFrequency (%)
99 13
 
0.1%
88 8528
85.7%
9 36
 
0.4%
8 1
 
< 0.1%
7 19
 
0.2%

u34
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.992964117
Minimum0
Maximum9
Zeros176
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:42.743996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.487514207
Coefficient of variation (CV)0.3557167126
Kurtosis2.303204142
Mean6.992964117
Median Absolute Deviation (MAD)0
Skewness-2.067737326
Sum69573
Variance6.187726929
MonotonicityNot monotonic
2023-03-22T13:10:42.843567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8528
85.7%
1 1232
 
12.4%
0 176
 
1.8%
9 13
 
0.1%
ValueCountFrequency (%)
0 176
 
1.8%
1 1232
 
12.4%
8 8528
85.7%
9 13
 
0.1%
ValueCountFrequency (%)
9 13
 
0.1%
8 8528
85.7%
1 1232
 
12.4%
0 176
 
1.8%

u35
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.934164238
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:42.951690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6307587589
Coefficient of variation (CV)0.07949908018
Kurtosis100.3842156
Mean7.934164238
Median Absolute Deviation (MAD)0
Skewness-9.960260001
Sum78937
Variance0.3978566119
MonotonicityNot monotonic
2023-03-22T13:10:43.068371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 9773
98.2%
7 56
 
0.6%
1 50
 
0.5%
2 34
 
0.3%
9 18
 
0.2%
3 7
 
0.1%
6 7
 
0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
1 50
0.5%
2 34
0.3%
3 7
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
9 18
 
0.2%
8 9773
98.2%
7 56
 
0.6%
6 7
 
0.1%
5 2
 
< 0.1%

u36
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.94039602
Minimum0
Maximum9
Zeros651
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:43.195302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.612326854
Coefficient of variation (CV)0.3763944949
Kurtosis2.337080013
Mean6.94039602
Median Absolute Deviation (MAD)0
Skewness-2.071951098
Sum69050
Variance6.824251592
MonotonicityNot monotonic
2023-03-22T13:10:43.295008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 8528
85.7%
1 763
 
7.7%
0 651
 
6.5%
9 7
 
0.1%
ValueCountFrequency (%)
0 651
 
6.5%
1 763
 
7.7%
8 8528
85.7%
9 7
 
0.1%
ValueCountFrequency (%)
9 7
 
0.1%
8 8528
85.7%
1 763
 
7.7%
0 651
 
6.5%

u37
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.454920092
Minimum0
Maximum9
Zeros98
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:43.401991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.897160801
Coefficient of variation (CV)0.2544843912
Kurtosis8.292588876
Mean7.454920092
Median Absolute Deviation (MAD)0
Skewness-3.201418841
Sum74169
Variance3.599219105
MonotonicityNot monotonic
2023-03-22T13:10:43.501590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9186
92.3%
1 663
 
6.7%
0 98
 
1.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 98
 
1.0%
1 663
 
6.7%
8 9186
92.3%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9186
92.3%
1 663
 
6.7%
0 98
 
1.0%

u38
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.95346266
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:43.609509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5301005143
Coefficient of variation (CV)0.06665028013
Kurtosis143.8866011
Mean7.95346266
Median Absolute Deviation (MAD)0
Skewness-11.92227107
Sum79129
Variance0.2810065552
MonotonicityNot monotonic
2023-03-22T13:10:43.726203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 9851
99.0%
1 35
 
0.4%
2 24
 
0.2%
7 20
 
0.2%
4 7
 
0.1%
5 5
 
0.1%
9 3
 
< 0.1%
3 2
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
1 35
0.4%
2 24
0.2%
3 2
 
< 0.1%
4 7
 
0.1%
5 5
 
0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 9851
99.0%
7 20
 
0.2%
6 2
 
< 0.1%
5 5
 
0.1%

u39
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.547592723
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:43.850947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.590669253
Coefficient of variation (CV)0.2107518664
Kurtosis9.252978205
Mean7.547592723
Median Absolute Deviation (MAD)0
Skewness-3.310236153
Sum75091
Variance2.530228674
MonotonicityNot monotonic
2023-03-22T13:10:43.960180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9188
92.4%
3 300
 
3.0%
1 242
 
2.4%
2 218
 
2.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 242
 
2.4%
2 218
 
2.2%
3 300
 
3.0%
8 9188
92.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9188
92.4%
3 300
 
3.0%
2 218
 
2.2%
1 242
 
2.4%

u40
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.07226857
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:44.080165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.303234533
Coefficient of variation (CV)0.3256712483
Kurtosis2.454457558
Mean7.07226857
Median Absolute Deviation (MAD)0
Skewness-2.095468589
Sum70362
Variance5.304889314
MonotonicityNot monotonic
2023-03-22T13:10:44.189346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 8528
85.7%
1 882
 
8.9%
2 457
 
4.6%
3 66
 
0.7%
9 16
 
0.2%
ValueCountFrequency (%)
1 882
 
8.9%
2 457
 
4.6%
3 66
 
0.7%
8 8528
85.7%
9 16
 
0.2%
ValueCountFrequency (%)
9 16
 
0.2%
8 8528
85.7%
3 66
 
0.7%
2 457
 
4.6%
1 882
 
8.9%

u41
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.879384863
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:44.311628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.033378037
Coefficient of variation (CV)0.5241496032
Kurtosis-0.3828436119
Mean3.879384863
Median Absolute Deviation (MAD)2
Skewness0.5970277066
Sum38596
Variance4.13462624
MonotonicityNot monotonic
2023-03-22T13:10:44.429330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 2921
29.4%
5 2030
20.4%
4 1362
13.7%
3 1069
 
10.7%
7 1002
 
10.1%
1 710
 
7.1%
6 490
 
4.9%
9 365
 
3.7%
ValueCountFrequency (%)
1 710
 
7.1%
2 2921
29.4%
3 1069
 
10.7%
4 1362
13.7%
5 2030
20.4%
ValueCountFrequency (%)
9 365
 
3.7%
7 1002
10.1%
6 490
 
4.9%
5 2030
20.4%
4 1362
13.7%

u42
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1578048045
Minimum0
Maximum9
Zeros9227
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:44.556654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9487387378
Coefficient of variation (CV)6.012102995
Kurtosis77.48084013
Mean0.1578048045
Median Absolute Deviation (MAD)0
Skewness8.666809955
Sum1570
Variance0.9001051927
MonotonicityNot monotonic
2023-03-22T13:10:44.657627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9227
92.7%
1 616
 
6.2%
9 106
 
1.1%
ValueCountFrequency (%)
0 9227
92.7%
1 616
 
6.2%
9 106
 
1.1%
ValueCountFrequency (%)
9 106
 
1.1%
1 616
 
6.2%
0 9227
92.7%

u43
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.70268369
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:44.774150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.74232201
Coefficient of variation (CV)0.250805912
Kurtosis11.38777172
Mean82.70268369
Median Absolute Deviation (MAD)0
Skewness-3.657101684
Sum822809
Variance430.2439222
MonotonicityNot monotonic
2023-03-22T13:10:44.897399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88 9333
93.8%
1 442
 
4.4%
2 103
 
1.0%
3 33
 
0.3%
4 16
 
0.2%
5 6
 
0.1%
99 5
 
0.1%
10 3
 
< 0.1%
6 2
 
< 0.1%
24 2
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
1 442
4.4%
2 103
 
1.0%
3 33
 
0.3%
4 16
 
0.2%
5 6
 
0.1%
ValueCountFrequency (%)
99 5
 
0.1%
88 9333
93.8%
30 1
 
< 0.1%
24 2
 
< 0.1%
21 1
 
< 0.1%

u44
Real number (ℝ)

Distinct45
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834.4072771
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:45.043607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation210.7303324
Coefficient of variation (CV)0.2525509283
Kurtosis11.46935958
Mean834.4072771
Median Absolute Deviation (MAD)0
Skewness-3.668485811
Sum8301518
Variance44407.27299
MonotonicityNot monotonic
2023-03-22T13:10:45.207180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
888 9333
93.8%
3 101
 
1.0%
1 99
 
1.0%
2 95
 
1.0%
4 50
 
0.5%
5 43
 
0.4%
7 31
 
0.3%
8 30
 
0.3%
6 22
 
0.2%
15 18
 
0.2%
Other values (35) 127
 
1.3%
ValueCountFrequency (%)
1 99
1.0%
2 95
1.0%
3 101
1.0%
4 50
0.5%
5 43
0.4%
ValueCountFrequency (%)
999 9
 
0.1%
888 9333
93.8%
120 1
 
< 0.1%
100 1
 
< 0.1%
99 1
 
< 0.1%

u45
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.590009046
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:45.340114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.61057544
Coefficient of variation (CV)0.2121967747
Kurtosis11.72361887
Mean7.590009046
Median Absolute Deviation (MAD)0
Skewness-3.691481135
Sum75513
Variance2.593953247
MonotonicityNot monotonic
2023-03-22T13:10:45.449549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9333
93.8%
1 439
 
4.4%
2 151
 
1.5%
3 21
 
0.2%
9 5
 
0.1%
ValueCountFrequency (%)
1 439
 
4.4%
2 151
 
1.5%
3 21
 
0.2%
8 9333
93.8%
9 5
 
0.1%
ValueCountFrequency (%)
9 5
 
0.1%
8 9333
93.8%
3 21
 
0.2%
2 151
 
1.5%
1 439
 
4.4%

u46
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.568097296
Minimum0
Maximum9
Zeros148
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:45.572425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.71692754
Coefficient of variation (CV)0.2268638302
Kurtosis11.99574514
Mean7.568097296
Median Absolute Deviation (MAD)0
Skewness-3.725794007
Sum75295
Variance2.947840177
MonotonicityNot monotonic
2023-03-22T13:10:45.673711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 9333
93.8%
1 417
 
4.2%
0 148
 
1.5%
2 35
 
0.4%
9 16
 
0.2%
ValueCountFrequency (%)
0 148
 
1.5%
1 417
 
4.2%
2 35
 
0.4%
8 9333
93.8%
9 16
 
0.2%
ValueCountFrequency (%)
9 16
 
0.2%
8 9333
93.8%
2 35
 
0.4%
1 417
 
4.2%
0 148
 
1.5%

u47
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1093577244
Minimum0
Maximum9
Zeros9677
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:45.780771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9141374324
Coefficient of variation (CV)8.359148267
Kurtosis88.80840901
Mean0.1093577244
Median Absolute Deviation (MAD)0
Skewness9.448593335
Sum1088
Variance0.8356472453
MonotonicityNot monotonic
2023-03-22T13:10:45.881397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9677
97.3%
1 170
 
1.7%
9 102
 
1.0%
ValueCountFrequency (%)
0 9677
97.3%
1 170
 
1.7%
9 102
 
1.0%
ValueCountFrequency (%)
9 102
 
1.0%
1 170
 
1.7%
0 9677
97.3%

u48
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.6445874
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:45.993976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.786032
Coefficient of variation (CV)0.1244859295
Kurtosis57.98130907
Mean86.6445874
Median Absolute Deviation (MAD)0
Skewness-7.735662741
Sum862027
Variance116.3384862
MonotonicityNot monotonic
2023-03-22T13:10:46.113115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
88 9779
98.3%
1 104
 
1.0%
2 31
 
0.3%
99 12
 
0.1%
3 10
 
0.1%
4 6
 
0.1%
12 4
 
< 0.1%
5 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 104
1.0%
2 31
 
0.3%
3 10
 
0.1%
4 6
 
0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
99 12
 
0.1%
88 9779
98.3%
12 4
 
< 0.1%
9 1
 
< 0.1%
5 2
 
< 0.1%

u49
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2152980199
Minimum0
Maximum9
Zeros8623
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:46.228461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9524707908
Coefficient of variation (CV)4.423964471
Kurtosis71.29633999
Mean0.2152980199
Median Absolute Deviation (MAD)0
Skewness8.104762053
Sum2142
Variance0.9072006073
MonotonicityNot monotonic
2023-03-22T13:10:46.330118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8623
86.7%
1 1224
 
12.3%
9 102
 
1.0%
ValueCountFrequency (%)
0 8623
86.7%
1 1224
 
12.3%
9 102
 
1.0%
ValueCountFrequency (%)
9 102
 
1.0%
1 1224
 
12.3%
0 8623
86.7%

u50
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.203638557
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:46.436998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.138486163
Coefficient of variation (CV)0.2968619464
Kurtosis3.536950573
Mean7.203638557
Median Absolute Deviation (MAD)0
Skewness-2.337354625
Sum71669
Variance4.573123068
MonotonicityNot monotonic
2023-03-22T13:10:46.546200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 8725
87.7%
1 643
 
6.5%
2 529
 
5.3%
3 50
 
0.5%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 643
 
6.5%
2 529
 
5.3%
3 50
 
0.5%
8 8725
87.7%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 8725
87.7%
3 50
 
0.5%
2 529
 
5.3%
1 643
 
6.5%

u50_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3809428083
Minimum0
Maximum9
Zeros6959
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:46.667468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9795982143
Coefficient of variation (CV)2.57150993
Kurtosis57.34146778
Mean0.3809428083
Median Absolute Deviation (MAD)0
Skewness6.880550663
Sum3790
Variance0.9596126615
MonotonicityNot monotonic
2023-03-22T13:10:46.768454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 6959
69.9%
1 2890
29.0%
9 100
 
1.0%
ValueCountFrequency (%)
0 6959
69.9%
1 2890
29.0%
9 100
 
1.0%
ValueCountFrequency (%)
9 100
 
1.0%
1 2890
29.0%
0 6959
69.9%

u50_2
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.61383054
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:46.889055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)85

Descriptive statistics

Standard deviation38.86511571
Coefficient of variation (CV)0.6109538662
Kurtosis-1.079494197
Mean63.61383054
Median Absolute Deviation (MAD)0
Skewness-0.9567328733
Sum632894
Variance1510.497219
MonotonicityNot monotonic
2023-03-22T13:10:47.026583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
88 7059
71.0%
1 1485
 
14.9%
2 697
 
7.0%
3 379
 
3.8%
4 104
 
1.0%
5 70
 
0.7%
99 61
 
0.6%
6 40
 
0.4%
10 12
 
0.1%
8 12
 
0.1%
Other values (10) 30
 
0.3%
ValueCountFrequency (%)
1 1485
14.9%
2 697
7.0%
3 379
 
3.8%
4 104
 
1.0%
5 70
 
0.7%
ValueCountFrequency (%)
99 61
 
0.6%
88 7059
71.0%
70 1
 
< 0.1%
30 1
 
< 0.1%
20 1
 
< 0.1%

u51
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.786511207
Minimum0
Maximum9
Zeros2235
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:47.154231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.520640354
Coefficient of variation (CV)0.6084219365
Kurtosis-1.044894842
Mean5.786511207
Median Absolute Deviation (MAD)0
Skewness-0.969248381
Sum57570
Variance12.3949085
MonotonicityNot monotonic
2023-03-22T13:10:47.260177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 7120
71.6%
0 2235
 
22.5%
1 592
 
6.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 2235
 
22.5%
1 592
 
6.0%
8 7120
71.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 7120
71.6%
1 592
 
6.0%
0 2235
 
22.5%

u52
Real number (ℝ)

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84032.85215
Minimum0
Maximum99999
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:47.407806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20266.39728
Coefficient of variation (CV)0.2411723125
Kurtosis13.0919379
Mean84032.85215
Median Absolute Deviation (MAD)0
Skewness-3.880405038
Sum836042846
Variance410726858.7
MonotonicityNot monotonic
2023-03-22T13:10:47.579676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 9357
94.0%
300 56
 
0.6%
200 56
 
0.6%
250 50
 
0.5%
99999 41
 
0.4%
150 39
 
0.4%
100 27
 
0.3%
400 26
 
0.3%
500 26
 
0.3%
350 16
 
0.2%
Other values (93) 255
 
2.6%
ValueCountFrequency (%)
0 6
0.1%
1 2
 
< 0.1%
20 5
0.1%
21 1
 
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
99999 41
 
0.4%
88888 9357
94.0%
9999 4
 
< 0.1%
8000 1
 
< 0.1%
7250 1
 
< 0.1%

u53
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.25751332
Minimum0
Maximum99
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:47.731801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.27357446
Coefficient of variation (CV)0.2314935157
Kurtosis12.48276679
Mean83.25751332
Median Absolute Deviation (MAD)0
Skewness-3.800145022
Sum828329
Variance371.4706726
MonotonicityNot monotonic
2023-03-22T13:10:47.865303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
88 9357
94.0%
5 136
 
1.4%
6 88
 
0.9%
4 71
 
0.7%
3 62
 
0.6%
2 49
 
0.5%
7 47
 
0.5%
8 32
 
0.3%
1 21
 
0.2%
99 18
 
0.2%
Other values (12) 68
 
0.7%
ValueCountFrequency (%)
0 8
 
0.1%
1 21
 
0.2%
2 49
0.5%
3 62
0.6%
4 71
0.7%
ValueCountFrequency (%)
99 18
 
0.2%
88 9357
94.0%
22 4
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

u53_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1379033069
Minimum0
Maximum9
Zeros9361
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:47.985906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9100473805
Coefficient of variation (CV)6.599170108
Kurtosis85.68181569
Mean0.1379033069
Median Absolute Deviation (MAD)0
Skewness9.137635749
Sum1372
Variance0.8281862347
MonotonicityNot monotonic
2023-03-22T13:10:48.086412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9361
94.1%
1 490
 
4.9%
9 98
 
1.0%
ValueCountFrequency (%)
0 9361
94.1%
1 490
 
4.9%
9 98
 
1.0%
ValueCountFrequency (%)
9 98
 
1.0%
1 490
 
4.9%
0 9361
94.1%

u53_2
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.89315509
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:48.206521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.35689559
Coefficient of variation (CV)0.2188127931
Kurtosis15.92149501
Mean83.89315509
Median Absolute Deviation (MAD)0
Skewness-4.229953432
Sum834653
Variance336.9756156
MonotonicityNot monotonic
2023-03-22T13:10:48.332364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
88 9459
95.1%
1 252
 
2.5%
2 91
 
0.9%
3 72
 
0.7%
4 25
 
0.3%
99 12
 
0.1%
5 12
 
0.1%
6 9
 
0.1%
10 7
 
0.1%
12 3
 
< 0.1%
Other values (6) 7
 
0.1%
ValueCountFrequency (%)
1 252
2.5%
2 91
 
0.9%
3 72
 
0.7%
4 25
 
0.3%
5 12
 
0.1%
ValueCountFrequency (%)
99 12
 
0.1%
88 9459
95.1%
40 1
 
< 0.1%
20 1
 
< 0.1%
12 3
 
< 0.1%

u54
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.639059202
Minimum0
Maximum8
Zeros245
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:48.449568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.610457307
Coefficient of variation (CV)0.2108188017
Kurtosis16.24570572
Mean7.639059202
Median Absolute Deviation (MAD)0
Skewness-4.259541447
Sum76001
Variance2.593572738
MonotonicityNot monotonic
2023-03-22T13:10:48.558865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9471
95.2%
0 245
 
2.5%
1 233
 
2.3%
ValueCountFrequency (%)
0 245
 
2.5%
1 233
 
2.3%
8 9471
95.2%
ValueCountFrequency (%)
8 9471
95.2%
1 233
 
2.3%
0 245
 
2.5%

u55
Real number (ℝ)

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86991.04372
Minimum0
Maximum99999
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:48.712351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12803.11433
Coefficient of variation (CV)0.147177385
Kurtosis40.75484141
Mean86991.04372
Median Absolute Deviation (MAD)0
Skewness-6.530000809
Sum865473894
Variance163919736.5
MonotonicityNot monotonic
2023-03-22T13:10:48.886240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 9716
97.7%
99999 15
 
0.2%
500 14
 
0.1%
100 12
 
0.1%
200 12
 
0.1%
1000 10
 
0.1%
2000 9
 
0.1%
300 8
 
0.1%
50 8
 
0.1%
1500 8
 
0.1%
Other values (81) 137
 
1.4%
ValueCountFrequency (%)
0 3
< 0.1%
15 1
 
< 0.1%
20 1
 
< 0.1%
28 1
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
99999 15
 
0.2%
88888 9716
97.7%
22000 1
 
< 0.1%
20000 1
 
< 0.1%
11000 1
 
< 0.1%

u56
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.18866218
Minimum0
Maximum99
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:49.043919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.86647026
Coefficient of variation (CV)0.1376801769
Kurtosis39.38787925
Mean86.18866218
Median Absolute Deviation (MAD)0
Skewness-6.413375795
Sum857491
Variance140.8131163
MonotonicityNot monotonic
2023-03-22T13:10:49.186437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88 9716
97.7%
5 24
 
0.2%
13 21
 
0.2%
8 20
 
0.2%
2 20
 
0.2%
3 16
 
0.2%
15 14
 
0.1%
4 13
 
0.1%
6 11
 
0.1%
9 11
 
0.1%
Other values (17) 83
 
0.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 7
 
0.1%
2 20
0.2%
3 16
0.2%
4 13
0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
88 9716
97.7%
25 2
 
< 0.1%
23 2
 
< 0.1%
22 4
 
< 0.1%

u57
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08714443663
Minimum0
Maximum9
Zeros9802
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:49.312249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8549535039
Coefficient of variation (CV)9.810764026
Kurtosis103.928428
Mean0.08714443663
Median Absolute Deviation (MAD)0
Skewness10.2581345
Sum867
Variance0.7309454939
MonotonicityNot monotonic
2023-03-22T13:10:49.412853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9802
98.5%
9 90
 
0.9%
1 57
 
0.6%
ValueCountFrequency (%)
0 9802
98.5%
1 57
 
0.6%
9 90
 
0.9%
ValueCountFrequency (%)
9 90
 
0.9%
1 57
 
0.6%
0 9802
98.5%

u58
Real number (ℝ)

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88449.38969
Minimum0
Maximum99999
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:49.542986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6213.931982
Coefficient of variation (CV)0.07025409677
Kurtosis190.2547874
Mean88449.38969
Median Absolute Deviation (MAD)0
Skewness-13.83991392
Sum879982978
Variance38612950.68
MonotonicityNot monotonic
2023-03-22T13:10:49.694753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88888 9892
99.4%
0 12
 
0.1%
99999 6
 
0.1%
300 3
 
< 0.1%
600 2
 
< 0.1%
2000 2
 
< 0.1%
400 2
 
< 0.1%
320 2
 
< 0.1%
4000 2
 
< 0.1%
8000 2
 
< 0.1%
Other values (23) 24
 
0.2%
ValueCountFrequency (%)
0 12
0.1%
1 1
 
< 0.1%
5 1
 
< 0.1%
90 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
99999 6
 
0.1%
88888 9892
99.4%
10000 1
 
< 0.1%
9999 1
 
< 0.1%
9500 1
 
< 0.1%

u59
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.5840788
Minimum0
Maximum99
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:49.839432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.774590067
Coefficient of variation (CV)0.06593196099
Kurtosis188.8034432
Mean87.5840788
Median Absolute Deviation (MAD)0
Skewness-13.74150933
Sum871374
Variance33.34589044
MonotonicityNot monotonic
2023-03-22T13:10:49.975175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
88 9892
99.4%
0 13
 
0.1%
6 5
 
0.1%
99 4
 
< 0.1%
15 4
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
17 3
 
< 0.1%
9 2
 
< 0.1%
14 2
 
< 0.1%
Other values (12) 17
 
0.2%
ValueCountFrequency (%)
0 13
0.1%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
6 5
 
0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
88 9892
99.4%
23 1
 
< 0.1%
22 2
 
< 0.1%
21 2
 
< 0.1%

u59_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09880389989
Minimum0
Maximum9
Zeros9606
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:50.098214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8173502899
Coefficient of variation (CV)8.272449679
Kurtosis110.2202345
Mean0.09880389989
Median Absolute Deviation (MAD)0
Skewness10.422456
Sum983
Variance0.6680614964
MonotonicityNot monotonic
2023-03-22T13:10:50.198817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9606
96.6%
1 263
 
2.6%
9 80
 
0.8%
ValueCountFrequency (%)
0 9606
96.6%
1 263
 
2.6%
9 80
 
0.8%
ValueCountFrequency (%)
9 80
 
0.8%
1 263
 
2.6%
0 9606
96.6%

u59_2
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.11247362
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:50.326627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.0201845
Coefficient of variation (CV)0.1395870307
Kurtosis37.99814049
Mean86.11247362
Median Absolute Deviation (MAD)0
Skewness-6.270257147
Sum856733
Variance144.4848353
MonotonicityNot monotonic
2023-03-22T13:10:50.473204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
88 9686
97.4%
1 46
 
0.5%
10 30
 
0.3%
12 28
 
0.3%
3 22
 
0.2%
2 20
 
0.2%
24 15
 
0.2%
20 14
 
0.1%
99 13
 
0.1%
36 12
 
0.1%
Other values (20) 63
 
0.6%
ValueCountFrequency (%)
1 46
0.5%
2 20
0.2%
3 22
0.2%
4 8
 
0.1%
5 7
 
0.1%
ValueCountFrequency (%)
99 13
 
0.1%
88 9686
97.4%
60 4
 
< 0.1%
50 1
 
< 0.1%
48 1
 
< 0.1%

u60
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.806312192
Minimum0
Maximum9
Zeros193
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:50.601428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.214597731
Coefficient of variation (CV)0.1555917443
Kurtosis35.5786408
Mean7.806312192
Median Absolute Deviation (MAD)0
Skewness-6.120627117
Sum77665
Variance1.475247647
MonotonicityNot monotonic
2023-03-22T13:10:50.703433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9699
97.5%
0 193
 
1.9%
1 55
 
0.6%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 193
 
1.9%
1 55
 
0.6%
8 9699
97.5%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 9699
97.5%
1 55
 
0.6%
0 193
 
1.9%

u61
Real number (ℝ)

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88469.42004
Minimum1
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:50.834961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6132.007775
Coefficient of variation (CV)0.06931217331
Kurtosis201.4650252
Mean88469.42004
Median Absolute Deviation (MAD)0
Skewness-14.24119571
Sum880182260
Variance37601519.35
MonotonicityNot monotonic
2023-03-22T13:10:50.986800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88888 9894
99.4%
600 7
 
0.1%
99999 7
 
0.1%
300 4
 
< 0.1%
400 4
 
< 0.1%
800 2
 
< 0.1%
210 2
 
< 0.1%
200 2
 
< 0.1%
900 2
 
< 0.1%
120 2
 
< 0.1%
Other values (23) 23
 
0.2%
ValueCountFrequency (%)
1 1
< 0.1%
20 1
< 0.1%
35 1
< 0.1%
100 1
< 0.1%
115 1
< 0.1%
ValueCountFrequency (%)
99999 7
 
0.1%
88888 9894
99.4%
2200 1
 
< 0.1%
2100 1
 
< 0.1%
2000 1
 
< 0.1%

u62
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.5808624
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:51.126632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.837432039
Coefficient of variation (CV)0.0666519132
Kurtosis187.4672712
Mean87.5808624
Median Absolute Deviation (MAD)0
Skewness-13.74073915
Sum871342
Variance34.07561281
MonotonicityNot monotonic
2023-03-22T13:10:51.253345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
88 9894
99.4%
5 8
 
0.1%
9 7
 
0.1%
6 6
 
0.1%
7 5
 
0.1%
4 5
 
0.1%
3 4
 
< 0.1%
10 4
 
< 0.1%
1 3
 
< 0.1%
12 3
 
< 0.1%
Other values (5) 10
 
0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
3 4
< 0.1%
4 5
0.1%
5 8
0.1%
6 6
0.1%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 9894
99.4%
15 3
 
< 0.1%
13 1
 
< 0.1%
12 3
 
< 0.1%

u62_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07498241029
Minimum0
Maximum9
Zeros9843
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:51.372963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8052191485
Coefficient of variation (CV)10.73877387
Kurtosis118.453326
Mean0.07498241029
Median Absolute Deviation (MAD)0
Skewness10.95599739
Sum746
Variance0.6483778772
MonotonicityNot monotonic
2023-03-22T13:10:51.473564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9843
98.9%
9 80
 
0.8%
1 26
 
0.3%
ValueCountFrequency (%)
0 9843
98.9%
1 26
 
0.3%
9 80
 
0.8%
ValueCountFrequency (%)
9 80
 
0.8%
1 26
 
0.3%
0 9843
98.9%

u62_2
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.78530506
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:51.588422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.210860262
Coefficient of variation (CV)0.04796771236
Kurtosis388.137651
Mean87.78530506
Median Absolute Deviation (MAD)0
Skewness-19.69442796
Sum873376
Variance17.73134415
MonotonicityNot monotonic
2023-03-22T13:10:51.701591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
88 9923
99.7%
1 12
 
0.1%
2 4
 
< 0.1%
12 2
 
< 0.1%
16 1
 
< 0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
15 1
 
< 0.1%
26 1
 
< 0.1%
3 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 12
0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
88 9923
99.7%
26 1
 
< 0.1%
24 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%

u63
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.980500553
Minimum0
Maximum9
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:51.816640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3911743872
Coefficient of variation (CV)0.04901627218
Kurtosis396.4964284
Mean7.980500553
Median Absolute Deviation (MAD)0
Skewness-19.92983115
Sum79398
Variance0.1530174012
MonotonicityNot monotonic
2023-03-22T13:10:51.918873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 9923
99.7%
0 20
 
0.2%
1 5
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 20
 
0.2%
1 5
 
0.1%
8 9923
99.7%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9923
99.7%
1 5
 
0.1%
0 20
 
0.2%

u64
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88853.43994
Minimum2
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:52.030414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99997
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1782.527435
Coefficient of variation (CV)0.02006143416
Kurtosis2464.284023
Mean88853.43994
Median Absolute Deviation (MAD)0
Skewness-49.53357077
Sum884002874
Variance3177404.056
MonotonicityNot monotonic
2023-03-22T13:10:52.147586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
88888 9944
99.9%
2 1
 
< 0.1%
180 1
 
< 0.1%
300 1
 
< 0.1%
99999 1
 
< 0.1%
121 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
121 1
 
< 0.1%
180 1
 
< 0.1%
300 1
 
< 0.1%
88888 9944
99.9%
ValueCountFrequency (%)
99999 1
 
< 0.1%
88888 9944
99.9%
300 1
 
< 0.1%
180 1
 
< 0.1%
121 1
 
< 0.1%

u65
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.9577847
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:52.264206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum88
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.883206997
Coefficient of variation (CV)0.02141035047
Kurtosis1989.89131
Mean87.9577847
Median Absolute Deviation (MAD)0
Skewness-44.61458119
Sum875092
Variance3.546468594
MonotonicityNot monotonic
2023-03-22T13:10:52.367761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
88 9944
99.9%
6 2
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
6 2
 
< 0.1%
88 9944
99.9%
ValueCountFrequency (%)
88 9944
99.9%
6 2
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
1 1
 
< 0.1%

u65_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07397728415
Minimum0
Maximum9
Zeros9837
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:52.477518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7956425811
Coefficient of variation (CV)10.75522831
Kurtosis121.2795495
Mean0.07397728415
Median Absolute Deviation (MAD)0
Skewness11.07761354
Sum736
Variance0.6330471169
MonotonicityNot monotonic
2023-03-22T13:10:52.577968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9837
98.9%
9 78
 
0.8%
1 34
 
0.3%
ValueCountFrequency (%)
0 9837
98.9%
1 34
 
0.3%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 34
 
0.3%
0 9837
98.9%

u65_2
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.74449693
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:52.692911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.650279739
Coefficient of variation (CV)0.05299796456
Kurtosis322.512174
Mean87.74449693
Median Absolute Deviation (MAD)0
Skewness-17.95095496
Sum872970
Variance21.62510165
MonotonicityNot monotonic
2023-03-22T13:10:52.816620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
88 9915
99.7%
1 14
 
0.1%
2 5
 
0.1%
99 3
 
< 0.1%
3 3
 
< 0.1%
12 2
 
< 0.1%
4 2
 
< 0.1%
10 1
 
< 0.1%
28 1
 
< 0.1%
20 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 14
0.1%
2 5
 
0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
99 3
 
< 0.1%
88 9915
99.7%
28 1
 
< 0.1%
24 1
 
< 0.1%
20 1
 
< 0.1%

u66
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.975474922
Minimum0
Maximum8
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:52.933763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4390947162
Coefficient of variation (CV)0.05505561994
Kurtosis318.2088105
Mean7.975474922
Median Absolute Deviation (MAD)0
Skewness-17.87927943
Sum79348
Variance0.1928041698
MonotonicityNot monotonic
2023-03-22T13:10:53.045233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9918
99.7%
0 27
 
0.3%
1 4
 
< 0.1%
ValueCountFrequency (%)
0 27
 
0.3%
1 4
 
< 0.1%
8 9918
99.7%
ValueCountFrequency (%)
8 9918
99.7%
1 4
 
< 0.1%
0 27
 
0.3%

u67
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88862.36798
Minimum0
Maximum99999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:53.168622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1544.289714
Coefficient of variation (CV)0.01737844432
Kurtosis3278.88135
Mean88862.36798
Median Absolute Deviation (MAD)0
Skewness-57.08398245
Sum884091699
Variance2384830.721
MonotonicityNot monotonic
2023-03-22T13:10:53.285075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
88888 9945
> 99.9%
0 1
 
< 0.1%
240 1
 
< 0.1%
99999 1
 
< 0.1%
300 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
240 1
 
< 0.1%
300 1
 
< 0.1%
88888 9945
> 99.9%
99999 1
 
< 0.1%
ValueCountFrequency (%)
99999 1
 
< 0.1%
88888 9945
> 99.9%
300 1
 
< 0.1%
240 1
 
< 0.1%
0 1
 
< 0.1%

u68
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.97567595
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:53.401132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.469161401
Coefficient of variation (CV)0.01669963186
Kurtosis3288.992853
Mean87.97567595
Median Absolute Deviation (MAD)0
Skewness-57.12582355
Sum875270
Variance2.158435221
MonotonicityNot monotonic
2023-03-22T13:10:53.515302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
88 9945
> 99.9%
0 1
 
< 0.1%
5 1
 
< 0.1%
99 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
88 9945
> 99.9%
99 1
 
< 0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
88 9945
> 99.9%
6 1
 
< 0.1%
5 1
 
< 0.1%
0 1
 
< 0.1%

u68_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08141521761
Minimum0
Maximum9
Zeros9755
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:53.628592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7950422926
Coefficient of variation (CV)9.765278728
Kurtosis119.6623204
Mean0.08141521761
Median Absolute Deviation (MAD)0
Skewness10.94556135
Sum810
Variance0.6320922471
MonotonicityNot monotonic
2023-03-22T13:10:53.729161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9755
98.1%
1 117
 
1.2%
9 77
 
0.8%
ValueCountFrequency (%)
0 9755
98.1%
1 117
 
1.2%
9 77
 
0.8%
ValueCountFrequency (%)
9 77
 
0.8%
1 117
 
1.2%
0 9755
98.1%

u68_2
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.03085737
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:53.844717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.994489259
Coefficient of variation (CV)0.1033482782
Kurtosis82.23281897
Mean87.03085737
Median Absolute Deviation (MAD)0
Skewness-9.165845823
Sum865870
Variance80.90083703
MonotonicityNot monotonic
2023-03-22T13:10:53.968982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
88 9832
98.8%
1 49
 
0.5%
2 14
 
0.1%
6 14
 
0.1%
3 13
 
0.1%
12 11
 
0.1%
8 6
 
0.1%
10 3
 
< 0.1%
4 2
 
< 0.1%
99 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
1 49
0.5%
2 14
 
0.1%
3 13
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
88 9832
98.8%
18 1
 
< 0.1%
15 1
 
< 0.1%
12 11
 
0.1%

u69
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.909840185
Minimum0
Maximum8
Zeros92
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:54.087028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8348875723
Coefficient of variation (CV)0.1055504982
Kurtosis82.40815904
Mean7.909840185
Median Absolute Deviation (MAD)0
Skewness-9.175827417
Sum78695
Variance0.6970372583
MonotonicityNot monotonic
2023-03-22T13:10:54.198526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9834
98.8%
0 92
 
0.9%
1 23
 
0.2%
ValueCountFrequency (%)
0 92
 
0.9%
1 23
 
0.2%
8 9834
98.8%
ValueCountFrequency (%)
8 9834
98.8%
1 23
 
0.2%
0 92
 
0.9%

u70
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88713.39793
Minimum1
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:54.330563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3970.06208
Coefficient of variation (CV)0.04475155019
Kurtosis490.4165408
Mean88713.39793
Median Absolute Deviation (MAD)0
Skewness-22.15457031
Sum882609596
Variance15761392.92
MonotonicityNot monotonic
2023-03-22T13:10:54.462058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88888 9926
99.8%
99999 3
 
< 0.1%
360 2
 
< 0.1%
300 2
 
< 0.1%
120 2
 
< 0.1%
200 2
 
< 0.1%
250 2
 
< 0.1%
1800 1
 
< 0.1%
400 1
 
< 0.1%
1 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
50 1
< 0.1%
100 1
< 0.1%
120 2
< 0.1%
200 2
< 0.1%
ValueCountFrequency (%)
99999 3
 
< 0.1%
88888 9926
99.8%
1800 1
 
< 0.1%
720 1
 
< 0.1%
600 1
 
< 0.1%

u71
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.81857473
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:54.590764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.881714158
Coefficient of variation (CV)0.04420151625
Kurtosis449.048688
Mean87.81857473
Median Absolute Deviation (MAD)0
Skewness-21.21141548
Sum873707
Variance15.0677048
MonotonicityNot monotonic
2023-03-22T13:10:54.715252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
88 9926
99.8%
5 6
 
0.1%
6 5
 
0.1%
3 3
 
< 0.1%
1 1
 
< 0.1%
14 1
 
< 0.1%
0 1
 
< 0.1%
7 1
 
< 0.1%
99 1
 
< 0.1%
8 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 3
< 0.1%
5 6
0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
88 9926
99.8%
14 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%

u71_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07689214996
Minimum0
Maximum9
Zeros9784
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:54.833229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7834599928
Coefficient of variation (CV)10.18907643
Kurtosis123.9526005
Mean0.07689214996
Median Absolute Deviation (MAD)0
Skewness11.1545271
Sum765
Variance0.6138095602
MonotonicityNot monotonic
2023-03-22T13:10:54.934470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9784
98.3%
1 90
 
0.9%
9 75
 
0.8%
ValueCountFrequency (%)
0 9784
98.3%
1 90
 
0.9%
9 75
 
0.8%
ValueCountFrequency (%)
9 75
 
0.8%
1 90
 
0.9%
0 9784
98.3%

u71_2
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean881.0174892
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:55.056503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation77.722399
Coefficient of variation (CV)0.08821890593
Kurtosis116.8824802
Mean881.0174892
Median Absolute Deviation (MAD)0
Skewness-10.88078103
Sum8765243
Variance6040.771306
MonotonicityNot monotonic
2023-03-22T13:10:55.194364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
888 9859
99.1%
90 20
 
0.2%
1 19
 
0.2%
3 11
 
0.1%
999 8
 
0.1%
2 5
 
0.1%
30 4
 
< 0.1%
8 3
 
< 0.1%
7 3
 
< 0.1%
4 3
 
< 0.1%
Other values (12) 14
 
0.1%
ValueCountFrequency (%)
1 19
0.2%
2 5
 
0.1%
3 11
0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
999 8
 
0.1%
888 9859
99.1%
90 20
 
0.2%
75 1
 
< 0.1%
66 1
 
< 0.1%

u72
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.936476028
Minimum0
Maximum8
Zeros58
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:55.318066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6980826209
Coefficient of variation (CV)0.08795876387
Kurtosis117.9940638
Mean7.936476028
Median Absolute Deviation (MAD)0
Skewness-10.93582084
Sum78960
Variance0.4873193456
MonotonicityNot monotonic
2023-03-22T13:10:55.429676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9867
99.2%
0 58
 
0.6%
1 24
 
0.2%
ValueCountFrequency (%)
0 58
 
0.6%
1 24
 
0.2%
8 9867
99.2%
ValueCountFrequency (%)
8 9867
99.2%
1 24
 
0.2%
0 58
 
0.6%

u73
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88766.8226
Minimum0
Maximum99999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:55.560574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3394.82879
Coefficient of variation (CV)0.03824434277
Kurtosis646.9787464
Mean88766.8226
Median Absolute Deviation (MAD)0
Skewness-25.30957129
Sum883141118
Variance11524862.51
MonotonicityNot monotonic
2023-03-22T13:10:55.689441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
88888 9925
99.8%
99999 9
 
0.1%
1200 3
 
< 0.1%
0 1
 
< 0.1%
1700 1
 
< 0.1%
1040 1
 
< 0.1%
1100 1
 
< 0.1%
3600 1
 
< 0.1%
998 1
 
< 0.1%
6900 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 1
< 0.1%
289 1
< 0.1%
700 1
< 0.1%
998 1
< 0.1%
1040 1
< 0.1%
ValueCountFrequency (%)
99999 9
 
0.1%
88888 9925
99.8%
6900 1
 
< 0.1%
4500 1
 
< 0.1%
3600 1
 
< 0.1%

u74
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.85104031
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:55.817333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.431465275
Coefficient of variation (CV)0.03906004144
Kurtosis496.5714594
Mean87.85104031
Median Absolute Deviation (MAD)0
Skewness-22.21887661
Sum874030
Variance11.77495393
MonotonicityNot monotonic
2023-03-22T13:10:55.941542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
88 9925
99.8%
14 5
 
0.1%
13 5
 
0.1%
99 4
 
< 0.1%
5 2
 
< 0.1%
12 2
 
< 0.1%
0 1
 
< 0.1%
3 1
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 1
< 0.1%
3 1
< 0.1%
5 2
< 0.1%
10 1
< 0.1%
12 2
< 0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
88 9925
99.8%
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%

u75
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1707709318
Minimum0
Maximum9
Zeros8906
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:56.058964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8573847347
Coefficient of variation (CV)5.02067141
Kurtosis89.83812302
Mean0.1707709318
Median Absolute Deviation (MAD)0
Skewness9.083735763
Sum1699
Variance0.7351085833
MonotonicityNot monotonic
2023-03-22T13:10:56.159700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8906
89.5%
1 961
 
9.7%
9 82
 
0.8%
ValueCountFrequency (%)
0 8906
89.5%
1 961
 
9.7%
9 82
 
0.8%
ValueCountFrequency (%)
9 82
 
0.8%
1 961
 
9.7%
0 8906
89.5%

u76
Real number (ℝ)

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81152.89547
Minimum0
Maximum99999
Zeros85
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:56.302119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile200
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25173.68903
Coefficient of variation (CV)0.31020075
Kurtosis6.386326643
Mean81152.89547
Median Absolute Deviation (MAD)0
Skewness-2.891137365
Sum807390157
Variance633714619.6
MonotonicityNot monotonic
2023-03-22T13:10:56.473783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88888 8988
90.3%
0 85
 
0.9%
99999 81
 
0.8%
200 60
 
0.6%
150 40
 
0.4%
250 40
 
0.4%
300 38
 
0.4%
500 36
 
0.4%
100 33
 
0.3%
400 31
 
0.3%
Other values (159) 517
 
5.2%
ValueCountFrequency (%)
0 85
0.9%
1 3
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
99999 81
 
0.8%
88888 8988
90.3%
21000 1
 
< 0.1%
10000 1
 
< 0.1%
9999 4
 
< 0.1%

u77
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.26012665
Minimum0
Maximum99
Zeros90
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:56.629238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.26071531
Coefficient of variation (CV)0.3022760656
Kurtosis5.890329881
Mean80.26012665
Median Absolute Deviation (MAD)0
Skewness-2.80239092
Sum798508
Variance588.5823072
MonotonicityNot monotonic
2023-03-22T13:10:56.769499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88 8988
90.3%
5 145
 
1.5%
2 129
 
1.3%
1 91
 
0.9%
3 91
 
0.9%
0 90
 
0.9%
4 81
 
0.8%
6 72
 
0.7%
8 50
 
0.5%
7 48
 
0.5%
Other values (17) 164
 
1.6%
ValueCountFrequency (%)
0 90
0.9%
1 91
0.9%
2 129
1.3%
3 91
0.9%
4 81
0.8%
ValueCountFrequency (%)
99 31
 
0.3%
88 8988
90.3%
25 1
 
< 0.1%
23 1
 
< 0.1%
22 4
 
< 0.1%

u77_1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0827218816
Minimum0
Maximum9
Zeros9750
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:56.893367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8002638218
Coefficient of variation (CV)9.674149166
Kurtosis117.9733912
Mean0.0827218816
Median Absolute Deviation (MAD)0
Skewness10.86758231
Sum823
Variance0.6404221845
MonotonicityNot monotonic
2023-03-22T13:10:56.994080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9750
98.0%
1 121
 
1.2%
9 78
 
0.8%
ValueCountFrequency (%)
0 9750
98.0%
1 121
 
1.2%
9 78
 
0.8%
ValueCountFrequency (%)
9 78
 
0.8%
1 121
 
1.2%
0 9750
98.0%

u77_2
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.02120816
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:57.106766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.173475147
Coefficient of variation (CV)0.1054165455
Kurtosis82.42302635
Mean87.02120816
Median Absolute Deviation (MAD)0
Skewness-9.178166225
Sum865774
Variance84.15264627
MonotonicityNot monotonic
2023-03-22T13:10:57.226351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
88 9828
98.8%
1 70
 
0.7%
2 26
 
0.3%
3 13
 
0.1%
99 7
 
0.1%
6 2
 
< 0.1%
16 1
 
< 0.1%
4 1
 
< 0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
1 70
0.7%
2 26
 
0.3%
3 13
 
0.1%
4 1
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
99 7
 
0.1%
88 9828
98.8%
24 1
 
< 0.1%
16 1
 
< 0.1%
6 2
 
< 0.1%

u78
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.91004121
Minimum0
Maximum8
Zeros97
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:57.342025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8364729888
Coefficient of variation (CV)0.1057482466
Kurtosis82.98233518
Mean7.91004121
Median Absolute Deviation (MAD)0
Skewness-9.209494586
Sum78697
Variance0.699687061
MonotonicityNot monotonic
2023-03-22T13:10:57.453505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9835
98.9%
0 97
 
1.0%
1 17
 
0.2%
ValueCountFrequency (%)
0 97
 
1.0%
1 17
 
0.2%
8 9835
98.9%
ValueCountFrequency (%)
8 9835
98.9%
1 17
 
0.2%
0 97
 
1.0%

u79
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88756.62519
Minimum0
Maximum99999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:57.585204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88888
Q188888
median88888
Q388888
95-th percentile88888
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3442.227542
Coefficient of variation (CV)0.03878276731
Kurtosis655.8703787
Mean88756.62519
Median Absolute Deviation (MAD)0
Skewness-25.61209962
Sum883039664
Variance11848930.45
MonotonicityNot monotonic
2023-03-22T13:10:57.711314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
88888 9932
99.8%
120 2
 
< 0.1%
99999 2
 
< 0.1%
300 2
 
< 0.1%
200 2
 
< 0.1%
90 1
 
< 0.1%
450 1
 
< 0.1%
150 1
 
< 0.1%
0 1
 
< 0.1%
250 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 1
< 0.1%
70 1
< 0.1%
90 1
< 0.1%
120 2
< 0.1%
150 1
< 0.1%
ValueCountFrequency (%)
99999 2
 
< 0.1%
88888 9932
99.8%
900 1
 
< 0.1%
500 1
 
< 0.1%
450 1
 
< 0.1%

u80
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.86752437
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:57.834395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.33218814
Coefficient of variation (CV)0.03792286357
Kurtosis618.4402404
Mean87.86752437
Median Absolute Deviation (MAD)0
Skewness-24.87546748
Sum874194
Variance11.1034778
MonotonicityNot monotonic
2023-03-22T13:10:57.953736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
88 9932
99.8%
5 3
 
< 0.1%
2 2
 
< 0.1%
7 2
 
< 0.1%
4 2
 
< 0.1%
3 2
 
< 0.1%
6 2
 
< 0.1%
0 1
 
< 0.1%
8 1
 
< 0.1%
99 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 2
< 0.1%
3 2
< 0.1%
4 2
< 0.1%
5 3
< 0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
88 9932
99.8%
12 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%

u81
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1268469193
Minimum0
Maximum2
Zeros9054
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:58.068655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4295946776
Coefficient of variation (CV)3.38671747
Kurtosis11.25523177
Mean0.1268469193
Median Absolute Deviation (MAD)0
Skewness3.481171838
Sum1262
Variance0.184551587
MonotonicityNot monotonic
2023-03-22T13:10:58.178543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 9054
91.0%
1 528
 
5.3%
2 367
 
3.7%
ValueCountFrequency (%)
0 9054
91.0%
1 528
 
5.3%
2 367
 
3.7%
ValueCountFrequency (%)
2 367
 
3.7%
1 528
 
5.3%
0 9054
91.0%

mf1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8621972057
Minimum0
Maximum1
Zeros1371
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:58.298505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3447102081
Coefficient of variation (CV)0.399804367
Kurtosis2.418392605
Mean0.8621972057
Median Absolute Deviation (MAD)0
Skewness-2.101881654
Sum8578
Variance0.1188251276
MonotonicityNot monotonic
2023-03-22T13:10:58.409505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 8578
86.2%
0 1371
 
13.8%
ValueCountFrequency (%)
0 1371
 
13.8%
1 8578
86.2%
ValueCountFrequency (%)
1 8578
86.2%
0 1371
 
13.8%

mf2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.007035883
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:58.515162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.404415325
Coefficient of variation (CV)1.197993193
Kurtosis2.346552865
Mean2.007035883
Median Absolute Deviation (MAD)0
Skewness2.074200952
Sum19968
Variance5.781213057
MonotonicityNot monotonic
2023-03-22T13:10:58.616944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 8156
82.0%
8 1371
 
13.8%
2 422
 
4.2%
ValueCountFrequency (%)
1 8156
82.0%
2 422
 
4.2%
8 1371
 
13.8%
ValueCountFrequency (%)
8 1371
 
13.8%
2 422
 
4.2%
1 8156
82.0%

mf9
Real number (ℝ)

Distinct272
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.4574329
Minimum70.5
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:58.761945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum70.5
5-th percentile103
Q1119.5
median132
Q3153
95-th percentile888
Maximum999
Range928.5
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation265.385327
Coefficient of variation (CV)1.112925371
Kurtosis2.175947669
Mean238.4574329
Median Absolute Deviation (MAD)15.5
Skewness2.032182726
Sum2372413
Variance70429.37181
MonotonicityNot monotonic
2023-03-22T13:10:58.927605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
120 151
 
1.5%
130 137
 
1.4%
125 124
 
1.2%
123 118
 
1.2%
115 118
 
1.2%
140 114
 
1.1%
135 112
 
1.1%
131 112
 
1.1%
121 112
 
1.1%
Other values (262) 7480
75.2%
ValueCountFrequency (%)
70.5 1
< 0.1%
72 1
< 0.1%
77 1
< 0.1%
78 1
< 0.1%
80 2
< 0.1%
ValueCountFrequency (%)
999 25
 
0.3%
888 1371
13.8%
777 18
 
0.2%
247 1
 
< 0.1%
237.5 1
 
< 0.1%

mf10
Real number (ℝ)

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.9809026
Minimum40
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:59.096704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile64.5
Q175
median83
Q394
95-th percentile888
Maximum999
Range959
Interquartile range (IQR)19

Descriptive statistics

Standard deviation282.2014335
Coefficient of variation (CV)1.439943534
Kurtosis2.207850623
Mean195.9809026
Median Absolute Deviation (MAD)9
Skewness2.047008163
Sum1949814
Variance79637.64906
MonotonicityNot monotonic
2023-03-22T13:10:59.263274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
80 287
 
2.9%
85 201
 
2.0%
75 192
 
1.9%
82 177
 
1.8%
83 177
 
1.8%
84 173
 
1.7%
74 166
 
1.7%
90 163
 
1.6%
79 159
 
1.6%
Other values (159) 6883
69.2%
ValueCountFrequency (%)
40 1
 
< 0.1%
45 4
< 0.1%
45.5 3
< 0.1%
48 2
< 0.1%
48.5 1
 
< 0.1%
ValueCountFrequency (%)
999 25
 
0.3%
888 1371
13.8%
777 18
 
0.2%
150 2
 
< 0.1%
145 1
 
< 0.1%

mf10_1
Real number (ℝ)

Distinct161
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.6298623
Minimum40
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:59.431117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile57
Q167
median75.5
Q387
95-th percentile888
Maximum999
Range959
Interquartile range (IQR)20

Descriptive statistics

Standard deviation284.7853637
Coefficient of variation (CV)1.501795974
Kurtosis2.207673359
Mean189.6298623
Median Absolute Deviation (MAD)9.5
Skewness2.047020776
Sum1886627.5
Variance81102.70338
MonotonicityNot monotonic
2023-03-22T13:10:59.600168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
69 200
 
2.0%
70 186
 
1.9%
72 178
 
1.8%
80 167
 
1.7%
71 167
 
1.7%
74 164
 
1.6%
69.5 160
 
1.6%
65 160
 
1.6%
73 155
 
1.6%
Other values (151) 7041
70.8%
ValueCountFrequency (%)
40 1
 
< 0.1%
40.5 3
< 0.1%
41.5 1
 
< 0.1%
42 1
 
< 0.1%
43 1
 
< 0.1%
ValueCountFrequency (%)
999 25
 
0.3%
888 1371
13.8%
777 18
 
0.2%
164.5 1
 
< 0.1%
159.5 1
 
< 0.1%

mf13
Real number (ℝ)

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.9455222
Minimum133
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:10:59.770555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile145
Q1153.5
median161
Q3170
95-th percentile888
Maximum999
Range866
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation270.0385647
Coefficient of variation (CV)0.9821529829
Kurtosis1.648710775
Mean274.9455222
Median Absolute Deviation (MAD)8
Skewness1.901333161
Sum2735433
Variance72920.82644
MonotonicityNot monotonic
2023-03-22T13:10:59.929386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
160 330
 
3.3%
162 309
 
3.1%
155 302
 
3.0%
165 301
 
3.0%
158 284
 
2.9%
150 283
 
2.8%
164 265
 
2.7%
153 261
 
2.6%
156 259
 
2.6%
Other values (108) 5984
60.1%
ValueCountFrequency (%)
133 1
 
< 0.1%
133.5 1
 
< 0.1%
134 9
0.1%
134.5 1
 
< 0.1%
135 8
0.1%
ValueCountFrequency (%)
999 184
 
1.8%
888 1371
13.8%
195.5 1
 
< 0.1%
195 1
 
< 0.1%
193 1
 
< 0.1%

mf14
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.862096693
Minimum0
Maximum8
Zeros84
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:00.062896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.006951944
Coefficient of variation (CV)0.1280767693
Kurtosis50.09197675
Mean7.862096693
Median Absolute Deviation (MAD)0
Skewness-7.199387571
Sum78220
Variance1.013952218
MonotonicityNot monotonic
2023-03-22T13:11:00.172512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9765
98.2%
1 100
 
1.0%
0 84
 
0.8%
ValueCountFrequency (%)
0 84
 
0.8%
1 100
 
1.0%
8 9765
98.2%
ValueCountFrequency (%)
8 9765
98.2%
1 100
 
1.0%
0 84
 
0.8%

mf15
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean880.6920293
Minimum132
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:00.309052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum888
Range756
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72.53489127
Coefficient of variation (CV)0.08236124418
Kurtosis94.60729341
Mean880.6920293
Median Absolute Deviation (MAD)0
Skewness-9.827169386
Sum8762005
Variance5261.310452
MonotonicityNot monotonic
2023-03-22T13:11:00.452991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
888 9849
99.0%
160 14
 
0.1%
155 10
 
0.1%
165 9
 
0.1%
163 6
 
0.1%
170 6
 
0.1%
153 5
 
0.1%
168 4
 
< 0.1%
150 4
 
< 0.1%
156 3
 
< 0.1%
Other values (21) 39
 
0.4%
ValueCountFrequency (%)
132 1
< 0.1%
140 1
< 0.1%
141 1
< 0.1%
143 1
< 0.1%
145 1
< 0.1%
ValueCountFrequency (%)
888 9849
99.0%
180 3
 
< 0.1%
178 2
 
< 0.1%
175 2
 
< 0.1%
174 1
 
< 0.1%

mf17m
Real number (ℝ)

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.1020203
Minimum58
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:00.620638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile75.5
Q189.5
median99
Q3116
95-th percentile999
Maximum999
Range941
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation332.004352
Coefficient of variation (CV)1.271550299
Kurtosis0.327629411
Mean261.1020203
Median Absolute Deviation (MAD)12
Skewness1.512330708
Sum2597704
Variance110226.8898
MonotonicityNot monotonic
2023-03-22T13:11:00.788206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
999 621
 
6.2%
92 227
 
2.3%
98 218
 
2.2%
96 198
 
2.0%
100 198
 
2.0%
90 192
 
1.9%
95 192
 
1.9%
93 188
 
1.9%
94 187
 
1.9%
Other values (170) 6357
63.9%
ValueCountFrequency (%)
58 3
 
< 0.1%
59 1
 
< 0.1%
59.5 1
 
< 0.1%
60 15
0.2%
60.5 1
 
< 0.1%
ValueCountFrequency (%)
999 621
6.2%
888 1371
13.8%
168 1
 
< 0.1%
166.5 1
 
< 0.1%
165.5 1
 
< 0.1%

mf19m
Real number (ℝ)

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.1223741
Minimum54
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:00.953067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile86
Q196
median103.5
Q3119
95-th percentile888
Maximum999
Range945
Interquartile range (IQR)23

Descriptive statistics

Standard deviation316.8720279
Coefficient of variation (CV)1.256818357
Kurtosis0.7249023375
Mean252.1223741
Median Absolute Deviation (MAD)9.5
Skewness1.638711858
Sum2508365.5
Variance100407.8821
MonotonicityNot monotonic
2023-03-22T13:11:01.118202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
999 466
 
4.7%
100 333
 
3.3%
98 282
 
2.8%
102 263
 
2.6%
94 240
 
2.4%
99 232
 
2.3%
101 232
 
2.3%
96 223
 
2.2%
104 216
 
2.2%
Other values (170) 6091
61.2%
ValueCountFrequency (%)
54 1
< 0.1%
61 1
< 0.1%
62 1
< 0.1%
65 1
< 0.1%
66.5 1
< 0.1%
ValueCountFrequency (%)
999 466
 
4.7%
888 1371
13.8%
178 1
 
< 0.1%
175 1
 
< 0.1%
174.5 1
 
< 0.1%

mf22
Real number (ℝ)

Distinct1356
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.4557745
Minimum30
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:01.284816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile48.549999
Q161.950001
median72.699997
Q388.849998
95-th percentile888
Maximum999
Range969
Interquartile range (IQR)26.899997

Descriptive statistics

Standard deviation304.9496499
Coefficient of variation (CV)1.506253159
Kurtosis1.531689844
Mean202.4557745
Median Absolute Deviation (MAD)12.449997
Skewness1.869382129
Sum2014232.5
Variance92994.28899
MonotonicityNot monotonic
2023-03-22T13:11:01.457568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 1371
 
13.8%
999 209
 
2.1%
68 91
 
0.9%
62 70
 
0.7%
65 68
 
0.7%
70 68
 
0.7%
80 67
 
0.7%
73 59
 
0.6%
66 59
 
0.6%
78 58
 
0.6%
Other values (1346) 7829
78.7%
ValueCountFrequency (%)
30 4
< 0.1%
30.450001 1
 
< 0.1%
30.950001 1
 
< 0.1%
31.049999 1
 
< 0.1%
31.200001 1
 
< 0.1%
ValueCountFrequency (%)
999 209
 
2.1%
888 1371
13.8%
168.05 1
 
< 0.1%
157.75 1
 
< 0.1%
144.75 1
 
< 0.1%

mf23
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean869.3530003
Minimum0
Maximum888
Zeros136
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:01.598263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum888
Range888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation127.3025756
Coefficient of variation (CV)0.146433699
Kurtosis42.64641672
Mean869.3530003
Median Absolute Deviation (MAD)0
Skewness-6.681154798
Sum8649193
Variance16205.94574
MonotonicityNot monotonic
2023-03-22T13:11:01.696734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
888 9740
97.9%
0 136
 
1.4%
1 73
 
0.7%
ValueCountFrequency (%)
0 136
 
1.4%
1 73
 
0.7%
888 9740
97.9%
ValueCountFrequency (%)
888 9740
97.9%
1 73
 
0.7%
0 136
 
1.4%

mf24
Real number (ℝ)

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean882.0022816
Minimum30
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:01.833298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile888
Q1888
median888
Q3888
95-th percentile888
Maximum888
Range858
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.78438614
Coefficient of variation (CV)0.07912041453
Kurtosis131.6511903
Mean882.0022816
Median Absolute Deviation (MAD)0
Skewness-11.55659369
Sum8775040.7
Variance4869.860549
MonotonicityNot monotonic
2023-03-22T13:11:01.985917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
888 9876
99.3%
80 4
 
< 0.1%
52 4
 
< 0.1%
72 4
 
< 0.1%
75 3
 
< 0.1%
78 3
 
< 0.1%
74 3
 
< 0.1%
62 3
 
< 0.1%
65 3
 
< 0.1%
84 2
 
< 0.1%
Other values (36) 44
 
0.4%
ValueCountFrequency (%)
30 1
< 0.1%
37 1
< 0.1%
38 1
< 0.1%
41 1
< 0.1%
45 1
< 0.1%
ValueCountFrequency (%)
888 9876
99.3%
174 1
 
< 0.1%
115 1
 
< 0.1%
100 1
 
< 0.1%
95 2
 
< 0.1%

mf25
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.125540255
Minimum0
Maximum8
Zeros8348
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:02.116333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.752529272
Coefficient of variation (CV)2.445518282
Kurtosis2.387823227
Mean1.125540255
Median Absolute Deviation (MAD)0
Skewness2.089989629
Sum11198
Variance7.576417393
MonotonicityNot monotonic
2023-03-22T13:11:02.224044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 8348
83.9%
8 1371
 
13.8%
1 230
 
2.3%
ValueCountFrequency (%)
0 8348
83.9%
1 230
 
2.3%
8 1371
 
13.8%
ValueCountFrequency (%)
8 1371
 
13.8%
1 230
 
2.3%
0 8348
83.9%

mf26
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.354407478
Minimum0
Maximum8
Zeros7681
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:02.340955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.921027974
Coefficient of variation (CV)2.156683289
Kurtosis1.34911162
Mean1.354407478
Median Absolute Deviation (MAD)0
Skewness1.81845149
Sum13475
Variance8.532404426
MonotonicityNot monotonic
2023-03-22T13:11:02.448159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7681
77.2%
8 1601
 
16.1%
1 667
 
6.7%
ValueCountFrequency (%)
0 7681
77.2%
1 667
 
6.7%
8 1601
 
16.1%
ValueCountFrequency (%)
8 1601
 
16.1%
1 667
 
6.7%
0 7681
77.2%

mf27
Real number (ℝ)

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1479.542065
Minimum1
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:02.598408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q117
median25
Q339
95-th percentile8888
Maximum8888
Range8887
Interquartile range (IQR)22

Descriptive statistics

Standard deviation3247.940739
Coefficient of variation (CV)2.195233793
Kurtosis1.390654025
Mean1479.542065
Median Absolute Deviation (MAD)10
Skewness1.837749962
Sum14719964
Variance10549119.04
MonotonicityNot monotonic
2023-03-22T13:11:02.754869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 1601
 
16.1%
20 615
 
6.2%
15 497
 
5.0%
25 477
 
4.8%
30 350
 
3.5%
18 343
 
3.4%
22 327
 
3.3%
19 320
 
3.2%
23 299
 
3.0%
10 282
 
2.8%
Other values (57) 4838
48.6%
ValueCountFrequency (%)
1 5
 
0.1%
2 5
 
0.1%
3 15
 
0.2%
4 18
 
0.2%
5 93
0.9%
ValueCountFrequency (%)
8888 1601
16.1%
888 153
 
1.5%
777 113
 
1.1%
666 74
 
0.7%
555 70
 
0.7%

mf28
Real number (ℝ)

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1485.519449
Minimum1
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:02.919211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q118
median25
Q340
95-th percentile8888
Maximum8888
Range8887
Interquartile range (IQR)22

Descriptive statistics

Standard deviation3246.489205
Coefficient of variation (CV)2.185423562
Kurtosis1.384839912
Mean1485.519449
Median Absolute Deviation (MAD)9
Skewness1.83503976
Sum14779433
Variance10539692.16
MonotonicityNot monotonic
2023-03-22T13:11:03.075937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 1601
 
16.1%
20 485
 
4.9%
15 434
 
4.4%
888 409
 
4.1%
25 407
 
4.1%
21 348
 
3.5%
22 346
 
3.5%
19 335
 
3.4%
18 332
 
3.3%
23 287
 
2.9%
Other values (57) 4965
49.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 5
 
0.1%
3 18
 
0.2%
4 20
0.2%
5 49
0.5%
ValueCountFrequency (%)
8888 1601
16.1%
888 409
 
4.1%
666 5
 
0.1%
555 3
 
< 0.1%
85 1
 
< 0.1%

mf29
Real number (ℝ)

Distinct63
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1485.814052
Minimum1
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:03.241270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q118
median25
Q340
95-th percentile8888
Maximum8888
Range8887
Interquartile range (IQR)22

Descriptive statistics

Standard deviation3246.415526
Coefficient of variation (CV)2.184940654
Kurtosis1.384564982
Mean1485.814052
Median Absolute Deviation (MAD)9
Skewness1.834910373
Sum14782364
Variance10539213.76
MonotonicityNot monotonic
2023-03-22T13:11:03.397676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 1601
 
16.1%
20 535
 
5.4%
888 418
 
4.2%
15 406
 
4.1%
25 389
 
3.9%
19 362
 
3.6%
22 360
 
3.6%
18 329
 
3.3%
23 301
 
3.0%
21 292
 
2.9%
Other values (53) 4956
49.8%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 8
 
0.1%
3 17
 
0.2%
4 22
0.2%
5 47
0.5%
ValueCountFrequency (%)
8888 1601
16.1%
888 418
 
4.2%
80 1
 
< 0.1%
60 1
 
< 0.1%
59 4
 
< 0.1%

mf30
Real number (ℝ)

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.6986742
Minimum1
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:03.552343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q110
median10
Q310
95-th percentile888
Maximum888
Range887
Interquartile range (IQR)0

Descriptive statistics

Standard deviation301.0643687
Coefficient of variation (CV)2.20239421
Kurtosis2.37188638
Mean136.6986742
Median Absolute Deviation (MAD)0
Skewness2.082937803
Sum1360015.11
Variance90639.75409
MonotonicityNot monotonic
2023-03-22T13:11:03.691645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10 7142
71.8%
888 1371
 
13.8%
66 391
 
3.9%
99 309
 
3.1%
2 195
 
2.0%
88 134
 
1.3%
9 84
 
0.8%
8 72
 
0.7%
4 49
 
0.5%
5 46
 
0.5%
Other values (27) 156
 
1.6%
ValueCountFrequency (%)
1 13
 
0.1%
1.03 1
 
< 0.1%
1.34 1
 
< 0.1%
1.44 1
 
< 0.1%
2 195
2.0%
ValueCountFrequency (%)
888 1371
 
13.8%
99 309
 
3.1%
88 134
 
1.3%
66 391
 
3.9%
10 7142
71.8%

mf31
Real number (ℝ)

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.1667886
Minimum1
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:03.848064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q110
median10
Q310
95-th percentile888
Maximum888
Range887
Interquartile range (IQR)0

Descriptive statistics

Standard deviation300.6207305
Coefficient of variation (CV)2.175781412
Kurtosis2.362312803
Mean138.1667886
Median Absolute Deviation (MAD)0
Skewness2.078892599
Sum1374621.38
Variance90372.82359
MonotonicityNot monotonic
2023-03-22T13:11:04.010469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 6538
65.7%
888 1371
 
13.8%
66 581
 
5.8%
99 353
 
3.5%
2 182
 
1.8%
88 153
 
1.5%
8 151
 
1.5%
6 101
 
1.0%
5 99
 
1.0%
9 93
 
0.9%
Other values (81) 327
 
3.3%
ValueCountFrequency (%)
1 26
0.3%
1.12 1
 
< 0.1%
1.29 1
 
< 0.1%
1.44 1
 
< 0.1%
1.5 2
 
< 0.1%
ValueCountFrequency (%)
888 1371
 
13.8%
99 353
 
3.5%
88 153
 
1.5%
66 581
 
5.8%
10 6538
65.7%

mf32
Real number (ℝ)

Distinct232
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.2500814
Minimum1
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:04.181088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q110
median30
Q366
95-th percentile888
Maximum888
Range887
Interquartile range (IQR)56

Descriptive statistics

Standard deviation297.4320188
Coefficient of variation (CV)2.033722073
Kurtosis2.359365644
Mean146.2500814
Median Absolute Deviation (MAD)20
Skewness2.077040904
Sum1455042.06
Variance88465.80578
MonotonicityNot monotonic
2023-03-22T13:11:04.337314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 3124
31.4%
10 2366
23.8%
888 1371
13.8%
66 747
 
7.5%
99 400
 
4.0%
2 187
 
1.9%
88 166
 
1.7%
5 163
 
1.6%
8 156
 
1.6%
3 125
 
1.3%
Other values (222) 1144
 
11.5%
ValueCountFrequency (%)
1 45
0.5%
1.16 1
 
< 0.1%
1.2 1
 
< 0.1%
1.21 1
 
< 0.1%
1.28 1
 
< 0.1%
ValueCountFrequency (%)
888 1371
13.8%
99 400
 
4.0%
88 166
 
1.7%
66 747
 
7.5%
30 3124
31.4%

mf35s
Real number (ℝ)

Distinct1514
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1332.452502
Minimum0.02
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:04.501096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile3.05
Q14.3
median6.85
Q3666
95-th percentile8888
Maximum8888
Range8887.98
Interquartile range (IQR)661.7

Descriptive statistics

Standard deviation3031.703901
Coefficient of variation (CV)2.27528103
Kurtosis2.345477773
Mean1332.452502
Median Absolute Deviation (MAD)3.39
Skewness2.071884685
Sum13256569.94
Variance9191228.541
MonotonicityNot monotonic
2023-03-22T13:11:04.663807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 1371
 
13.8%
666 643
 
6.5%
888 639
 
6.4%
4.12 53
 
0.5%
4.25 49
 
0.5%
3.52 47
 
0.5%
3.25 46
 
0.5%
5 46
 
0.5%
3.59 45
 
0.5%
5.12 42
 
0.4%
Other values (1504) 6968
70.0%
ValueCountFrequency (%)
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 2
< 0.1%
0.05 2
< 0.1%
0.06 4
< 0.1%
ValueCountFrequency (%)
8888 1371
13.8%
888 639
6.4%
666 643
6.5%
368.08 1
 
< 0.1%
350.2 1
 
< 0.1%

mf38s
Real number (ℝ)

Distinct1506
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1334.690638
Minimum0.04
Maximum8888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:04.825991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile3.01
Q14.17
median6.52
Q3666
95-th percentile8888
Maximum8888
Range8887.96
Interquartile range (IQR)661.83

Descriptive statistics

Standard deviation3031.084118
Coefficient of variation (CV)2.271001257
Kurtosis2.34365346
Mean1334.690638
Median Absolute Deviation (MAD)3.2
Skewness2.071121641
Sum13278837.16
Variance9187470.929
MonotonicityNot monotonic
2023-03-22T13:11:04.988581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8888 1371
 
13.8%
888 667
 
6.7%
666 643
 
6.5%
3.5 57
 
0.6%
4.25 51
 
0.5%
3.45 47
 
0.5%
4.5 43
 
0.4%
4.12 43
 
0.4%
4.1 42
 
0.4%
4 39
 
0.4%
Other values (1496) 6946
69.8%
ValueCountFrequency (%)
0.04 1
< 0.1%
0.05 1
< 0.1%
0.06 1
< 0.1%
0.07 1
< 0.1%
0.15 1
< 0.1%
ValueCountFrequency (%)
8888 1371
13.8%
888 667
6.7%
666 643
6.5%
366.08 1
 
< 0.1%
355.14 1
 
< 0.1%

mf39
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.149261232
Minimum0
Maximum8
Zeros7137
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:05.117622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.530460066
Coefficient of variation (CV)1.642638881
Kurtosis-0.8894169285
Mean2.149261232
Median Absolute Deviation (MAD)0
Skewness1.051573982
Sum21383
Variance12.46414828
MonotonicityNot monotonic
2023-03-22T13:11:05.233099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 7137
71.7%
8 2653
 
26.7%
1 159
 
1.6%
ValueCountFrequency (%)
0 7137
71.7%
1 159
 
1.6%
8 2653
 
26.7%
ValueCountFrequency (%)
8 2653
 
26.7%
1 159
 
1.6%
0 7137
71.7%

ci1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08593828525
Minimum0
Maximum1
Zeros9094
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:05.356908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2802869828
Coefficient of variation (CV)3.261491453
Kurtosis6.734262274
Mean0.08593828525
Median Absolute Deviation (MAD)0
Skewness2.955149498
Sum855
Variance0.07856079273
MonotonicityNot monotonic
2023-03-22T13:11:05.465921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9094
91.4%
1 855
 
8.6%
ValueCountFrequency (%)
0 9094
91.4%
1 855
 
8.6%
ValueCountFrequency (%)
1 855
 
8.6%
0 9094
91.4%

ci3
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.2102724
Minimum14
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:05.607561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile58
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range985
Interquartile range (IQR)0

Descriptive statistics

Standard deviation227.7324535
Coefficient of variation (CV)0.2773132061
Kurtosis7.475830447
Mean821.2102724
Median Absolute Deviation (MAD)0
Skewness-3.073742688
Sum8170221
Variance51862.07038
MonotonicityNot monotonic
2023-03-22T13:11:05.773924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9094
91.4%
999 52
 
0.5%
55 34
 
0.3%
58 30
 
0.3%
54 26
 
0.3%
53 23
 
0.2%
60 23
 
0.2%
65 22
 
0.2%
56 20
 
0.2%
51 20
 
0.2%
Other values (70) 605
 
6.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
16 4
< 0.1%
17 2
 
< 0.1%
18 1
 
< 0.1%
19 8
0.1%
ValueCountFrequency (%)
999 52
 
0.5%
888 9094
91.4%
99 1
 
< 0.1%
91 2
 
< 0.1%
90 1
 
< 0.1%

ci4
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.332596241
Minimum0
Maximum8
Zeros655
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:05.908099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.180266596
Coefficient of variation (CV)0.2973389676
Kurtosis6.867494523
Mean7.332596241
Median Absolute Deviation (MAD)0
Skewness-2.971661804
Sum72952
Variance4.753562429
MonotonicityNot monotonic
2023-03-22T13:11:06.015166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9094
91.4%
0 655
 
6.6%
1 200
 
2.0%
ValueCountFrequency (%)
0 655
 
6.6%
1 200
 
2.0%
8 9094
91.4%
ValueCountFrequency (%)
8 9094
91.4%
1 200
 
2.0%
0 655
 
6.6%

ci5
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.71122726
Minimum0
Maximum99
Zeros63
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:06.143109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.82549351
Coefficient of variation (CV)0.2671051977
Kurtosis7.867798051
Mean81.71122726
Median Absolute Deviation (MAD)0
Skewness-3.129675798
Sum812945
Variance476.3521669
MonotonicityNot monotonic
2023-03-22T13:11:06.269152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
88 9094
91.4%
11 227
 
2.3%
4 113
 
1.1%
8 79
 
0.8%
99 70
 
0.7%
0 63
 
0.6%
13 58
 
0.6%
5 46
 
0.5%
3 40
 
0.4%
1 32
 
0.3%
Other values (8) 127
 
1.3%
ValueCountFrequency (%)
0 63
0.6%
1 32
 
0.3%
2 18
 
0.2%
3 40
 
0.4%
4 113
1.1%
ValueCountFrequency (%)
99 70
 
0.7%
88 9094
91.4%
15 1
 
< 0.1%
14 6
 
0.1%
13 58
 
0.6%

ci6
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.548798874
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:06.386085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.578898031
Coefficient of variation (CV)0.209158842
Kurtosis9.986036815
Mean7.548798874
Median Absolute Deviation (MAD)0
Skewness-3.407683775
Sum75103
Variance2.492918993
MonotonicityNot monotonic
2023-03-22T13:11:06.494497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 9094
91.4%
2 353
 
3.5%
1 241
 
2.4%
7 81
 
0.8%
5 56
 
0.6%
6 48
 
0.5%
4 41
 
0.4%
3 35
 
0.4%
ValueCountFrequency (%)
1 241
2.4%
2 353
3.5%
3 35
 
0.4%
4 41
 
0.4%
5 56
 
0.6%
ValueCountFrequency (%)
8 9094
91.4%
7 81
 
0.8%
6 48
 
0.5%
5 56
 
0.6%
4 41
 
0.4%

ci7
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.372097698
Minimum0
Maximum8
Zeros262
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:06.612316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.052352949
Coefficient of variation (CV)0.2783947029
Kurtosis6.936727398
Mean7.372097698
Median Absolute Deviation (MAD)0
Skewness-2.979109116
Sum73345
Variance4.212152626
MonotonicityNot monotonic
2023-03-22T13:11:06.719606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 9094
91.4%
1 593
 
6.0%
0 262
 
2.6%
ValueCountFrequency (%)
0 262
 
2.6%
1 593
 
6.0%
8 9094
91.4%
ValueCountFrequency (%)
8 9094
91.4%
1 593
 
6.0%
0 262
 
2.6%

ci8
Real number (ℝ)

Distinct74
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.88561664
Minimum0
Maximum99
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:06.870882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.77687756
Coefficient of variation (CV)0.1622993165
Kurtosis20.06011863
Mean84.88561664
Median Absolute Deviation (MAD)0
Skewness-4.519591011
Sum844527
Variance189.8023554
MonotonicityNot monotonic
2023-03-22T13:11:07.037302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 9356
94.0%
99 37
 
0.4%
30 25
 
0.3%
20 24
 
0.2%
35 20
 
0.2%
50 20
 
0.2%
0 19
 
0.2%
2 17
 
0.2%
10 17
 
0.2%
5 16
 
0.2%
Other values (64) 398
 
4.0%
ValueCountFrequency (%)
0 19
0.2%
1 11
0.1%
2 17
0.2%
3 15
0.2%
4 8
0.1%
ValueCountFrequency (%)
99 37
 
0.4%
88 9356
94.0%
73 1
 
< 0.1%
71 1
 
< 0.1%
70 3
 
< 0.1%

ci9
Real number (ℝ)

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean823.1533822
Minimum0
Maximum999
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:07.204352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q1888
median888
Q3888
95-th percentile888
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation227.1222275
Coefficient of variation (CV)0.2759172621
Kurtosis7.941270726
Mean823.1533822
Median Absolute Deviation (MAD)0
Skewness-3.146238848
Sum8189553
Variance51584.50623
MonotonicityNot monotonic
2023-03-22T13:11:07.370881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 9094
91.4%
999 82
 
0.8%
50 40
 
0.4%
40 31
 
0.3%
35 29
 
0.3%
60 27
 
0.3%
30 27
 
0.3%
55 27
 
0.3%
45 25
 
0.3%
52 23
 
0.2%
Other values (72) 544
 
5.5%
ValueCountFrequency (%)
0 6
0.1%
1 7
0.1%
2 8
0.1%
3 4
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
999 82
 
0.8%
888 9094
91.4%
96 1
 
< 0.1%
86 3
 
< 0.1%
82 1
 
< 0.1%

rendadom
Real number (ℝ)

Distinct657
Distinct (%)7.0%
Missing562
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean2787.769042
Minimum0
Maximum80000
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:07.538592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile800
Q11200
median2000
Q33058
95-th percentile7000
Maximum80000
Range80000
Interquartile range (IQR)1858

Descriptive statistics

Standard deviation2947.265943
Coefficient of variation (CV)1.057213097
Kurtosis114.7486756
Mean2787.769042
Median Absolute Deviation (MAD)994
Skewness7.149978462
Sum26168788
Variance8686376.537
MonotonicityNot monotonic
2023-03-22T13:11:07.706561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 869
 
8.7%
998 765
 
7.7%
1996 555
 
5.6%
3000 454
 
4.6%
1000 368
 
3.7%
1500 312
 
3.1%
2500 296
 
3.0%
4000 276
 
2.8%
5000 220
 
2.2%
1200 219
 
2.2%
Other values (647) 5053
50.8%
(Missing) 562
 
5.6%
ValueCountFrequency (%)
0 80
0.8%
9 2
 
< 0.1%
12 3
 
< 0.1%
20 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
80000 1
< 0.1%
70000 1
< 0.1%
60000 1
< 0.1%
50000 1
< 0.1%
35000 2
< 0.1%

rendadompc
Real number (ℝ)

Distinct924
Distinct (%)9.8%
Missing562
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean1404.172848
Minimum0
Maximum40000
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:07.886587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile300
Q1666.66669
median1000
Q31500
95-th percentile3750
Maximum40000
Range40000
Interquartile range (IQR)833.33331

Descriptive statistics

Standard deviation1623.687326
Coefficient of variation (CV)1.156330098
Kurtosis84.95674933
Mean1404.172848
Median Absolute Deviation (MAD)400
Skewness6.654416812
Sum13180970.52
Variance2636360.532
MonotonicityNot monotonic
2023-03-22T13:11:08.055008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 817
 
8.2%
998 795
 
8.0%
2000 326
 
3.3%
1500 310
 
3.1%
499 303
 
3.0%
500 298
 
3.0%
750 182
 
1.8%
600 156
 
1.6%
666.66669 149
 
1.5%
1250 147
 
1.5%
Other values (914) 5904
59.3%
(Missing) 562
 
5.6%
ValueCountFrequency (%)
0 80
0.8%
4.5 2
 
< 0.1%
6 3
 
< 0.1%
20 1
 
< 0.1%
26 2
 
< 0.1%
ValueCountFrequency (%)
40000 1
< 0.1%
35000 1
< 0.1%
25000 1
< 0.1%
22200 1
< 0.1%
21000 1
< 0.1%

rendaind
Real number (ℝ)

Distinct762
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1515.565383
Minimum0
Maximum94000
Zeros1981
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:08.231335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1550
median998
Q31800
95-th percentile4700
Maximum94000
Range94000
Interquartile range (IQR)1250

Descriptive statistics

Standard deviation2390.765055
Coefficient of variation (CV)1.577474045
Kurtosis312.6031188
Mean1515.565383
Median Absolute Deviation (MAD)600
Skewness11.83651002
Sum15078360
Variance5715757.55
MonotonicityNot monotonic
2023-03-22T13:11:08.401614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
998 2118
21.3%
0 1981
19.9%
1000 517
 
5.2%
2000 355
 
3.6%
1500 217
 
2.2%
1200 204
 
2.1%
1996 185
 
1.9%
3000 172
 
1.7%
980 154
 
1.5%
2500 121
 
1.2%
Other values (752) 3925
39.5%
ValueCountFrequency (%)
0 1981
19.9%
30 1
 
< 0.1%
41 1
 
< 0.1%
50 2
 
< 0.1%
70 2
 
< 0.1%
ValueCountFrequency (%)
94000 1
< 0.1%
61300 1
< 0.1%
52092 1
< 0.1%
38000 1
< 0.1%
35000 2
< 0.1%

propriedades
Real number (ℝ)

MISSING  ZEROS 

Distinct645
Distinct (%)7.2%
Missing1049
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean158513.7444
Minimum0
Maximum4012500
Zeros974
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size77.9 KiB
2023-03-22T13:11:08.565441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122500
median92500
Q3159500
95-th percentile550000
Maximum4012500
Range4012500
Interquartile range (IQR)137000

Descriptive statistics

Standard deviation260136.2613
Coefficient of variation (CV)1.641095933
Kurtosis49.94411015
Mean158513.7444
Median Absolute Deviation (MAD)70000
Skewness5.645975698
Sum1410772325
Variance6.767087444 × 1010
MonotonicityNot monotonic
2023-03-22T13:11:08.737000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150000 1108
 
11.1%
0 974
 
9.8%
250000 428
 
4.3%
97500 399
 
4.0%
67500 168
 
1.7%
350000 155
 
1.6%
47500 154
 
1.5%
77500 150
 
1.5%
57500 142
 
1.4%
42500 140
 
1.4%
Other values (635) 5082
51.1%
(Missing) 1049
 
10.5%
ValueCountFrequency (%)
0 974
9.8%
50 54
 
0.5%
75 102
 
1.0%
100 7
 
0.1%
125 80
 
0.8%
ValueCountFrequency (%)
4012500 2
< 0.1%
3782500 1
< 0.1%
3750000 2
< 0.1%
3250000 1
< 0.1%
3077500 2
< 0.1%